Bitcoin and Altcoins Show Post-Crash Recovery Signs – Cryptonews

Yesterday, we discussed the chances of more losses in bitcoin below the USD 9,200 and USD 9,000 support levels. BTC/USD did decline heavily and broke many supports near USD 9,000 and USD 8,850 level. It tested the USD 8,550 support area and it is currently (09:00 UTC) correcting higher.

Similarly, there were significant losses in most major altcoins, including ethereum, XRP, litecoin, bitcoin cash, BNB, EOS, TRX, ADA, and XLM. ETH/USD broke many supports near USD 220 and tested the USD 210 level. More importantly, XRP dived below the USD 0.232 support before the bulls appeared near the USD 0.222 level.

Total market capitalization

In the past two days, bitcoin price saw a steady decrease below the USD 9,000 support level. BTC/USD even declined below the USD 8,850 support level and tested the USD 8,550 level. It is currently correcting losses and trading above the USD 8,700 level. On the upside, the first resistance is near the USD 8,850 level, above which the bulls may struggle to clear the USD 9,000 barrier.On the downside, the bulls are likely to find and protect the USD 8,650 and USD 8,550 support levels in the near term.

Ethereum price declined below the USD 232 and USD 230 support levels. As a result, ETH/USD broke the USD 220 support and even spiked below USD 210. It is currently correcting higher, but the previous supports near USD 230 are likely to act as resistances.If there is no upside break above the USD 230 and USD 232 levels, the price is likely to resume its decline below USD 215 and USD 210. The main support is near the USD 200 handle.

Bitcoin cash price gained bearish momentum below the USD 340 and USD 320 support levels. BCH/USD tested the USD 300 support area and it is currently correcting above USD 320. On the upside, there are a few key hurdles visible near the USD 340 and USD 350 levels.Litecoin failed to stay above the USD 65.00 support area and extended its decline below USD 60.00. LTC/USD found support near USD 58.00 and it is currently correcting higher above USD 60.00. However, the previous key support near the USD 65.00 level is likely to act as a strong resistance for the bulls.XRP price struggled to stay above the main USD 0.235 and USD 0.232 support levels. The price even broke the USD 0.225 level and tested the USD 0.222 support. Currently, the price is recovering and trading above USD 0.232.

In the past three sessions, many small-capitalization altcoins declined more than 8%, including SXP, BCN, CKB, ETC, WAVES, RLC, MIOTA, XZC, CRO, AE, and SEELE. Conversely, AION, WAXP, and LSK are up more than 10%.

Watch the latest reports by Block TV.

To sum up, bitcoin price extended its decline below USD 8,850, but it found a strong support near USD 8,550. If BTC/USD continues to rise and recovers above USD 9,000, there could be a decent comeback above USD 9,200._____

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Bitcoin and Altcoins Show Post-Crash Recovery Signs - Cryptonews

Join WearRA, ASTM and ASU for Robotics Week – Yahoo Finance

SCOTTSDALE, Ariz., Feb. 27, 2020 /PRNewswire/ --Get ready for an exciting week in Arizona! The week kicks off with the Annual WearRAcon Symposium on March 30th. Immediately following WearRAcon, ASTM Committee F48 Exoskeletons and Exosuits will host their biannual meeting, and to round out the week ASU will host the Southwest Robotics Symposium. "We are excited to collaborate with ASTM and ASU to bring a full week of robotics education and events to Arizona," said Joseph Hitt, Ph.D., Co-Founder and Executive Director of the Wearable Robotics Association. "These events bring together wearable robotics professionals and entrepreneurs from industry, medical/rehab, academia, and government all in one place."

(PRNewsfoto/Wearable Robotics Association)

WearRAcon 20 | March 30-April 1:Join the Wearable Robotics Association (WearRA) at WearRAcon 20! The annual event, now in its 5th year, brings together 250 attendees from across the globe. The event includes keynote presentations from Norm Bafunno, Senior VP, Toyota Motor North America; Michael Goldfarb, Professor, Vanderbilt University and Creator of the Indego Exoskeleton; and Rich Mahoney, CEO and Founder, Seismic. View full agendaand register here. WearRA is pleased to provide special discounted rates for ASTM members attend the full event, or just come for the day!

ASTM F48 Meetings | April 1-2:The ASTMCommittee F48 on Exoskeletons and Exosuits will lead two days of meetings and breakout sessions on the development of consensus standards. Topics will address use of active and passive systems in settings involving industry, emergency response, health care, military, and consumer use. F48 subcommittees will target topics such as safety, quality, performance, ergonomics, security and informational technologies, and terminology for systems and components during the full life cycle of the product from before usage, to maintenance, to disposal. More information.

ASU Southwest Robotics Symposium | April 2-3:The ASU Southwest Robotics Symposium will focus on three themes this year: Manufacturing and Robotics, Agriculture and Robotics, and Mobility and Robotics. The main goal of the symposium is to build a community by fostering collaboration and promoting close interaction between leading researchers, engineers, and technology adopters while learning about state-of-the-art applications of robotics and autonomous systems. The event includes a Drone Delivery Challenge Competition (D2C2) on April 2nd and a special keynote by Dr. Vijay Kumaron April 3rd. Click herefor more information.

For more information contact:Amy Gallagher, Conference ManagerWearable Robotics Associationamy.gallagher@wearablerobotics.com

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Join WearRA, ASTM and ASU for Robotics Week - Yahoo Finance

Robolution Robotics headed to world competition – KBZK Bozeman News

BUTTE If at first you dont succeed, try again. The Robolution Robotics team made of students from both Anaconda and Butte High are proof that idea works.

Last year the group was brand new to robotics competition. It placed 36 out of 37 teams. This year the team won the INSPIRE Award for being the best example of what robotics teams are all about. For that honor the team is headed to the world competition in Houston in April.

Kaden Dean a junior at Butte High, and Caleb Thompson a senior from Anaconda talked live with Montana This Mornings Chet Layman Thursday morning about the team. Both say theyve learned much from working with the 8-person team from two high schools, and are excited about the trip to Houston. While they will travel as a team, part of the world competition requires a two-person effort where team members will be paired up with a person from another team. That means they could be working with students from any of the 70 countries being represented at the event in Houston.

The team is made up of five Anaconda High School students: Caleb Thompson, Liam Barrington, Will Griffis, Jaiden Connors, and Farabeth Barrington, as well as two students from Butte High School: Kaden Dean and Aaliyah Andersch. The team is coached by Carlton Nelson, an Anaconda High School teacher, who has spent the last ten years working for Upward Bound as a summer instructor and now serves as the after-school robotics coach. The team is mentored by Montana Tech students, Justin Bak and Emily Maynard.

The team is asking for community support to travel to Houston for the FIRST Championship Competition. For more information, please visit https://impact.mtech.edu/project/19260.

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Robolution Robotics headed to world competition - KBZK Bozeman News

Smart Robots: The Potential Benefits of Combining AI with Robotics – Analytics Insight

What would you call a machine that looks like a human? Obviously a Robot!

Robots are machines or mechanical human beings that are designed to assist humans with laborious and complex tasks. However, such robots are no more just mechanical design rather they have become smarter with time and advancement of technologies. AI developments have induced evolution and better capacity in robots. Even robotics and AI together can revolutionize almost any industry for the greater good.

As the industry is realizing the combined potential of both the technologies, will we see the combination anytime soon?

Well, some of them have already arrived in the market. In CES 2020, Samsung unveiled a bot chef who is capable of making people a salad on their command. Also, Delta Airlines showcased an exoskeleton that can boost the strength and endurance of the human body. We can observe that robotics offers a lot of promise from the creation of artificial limbs to entire suits that can help people performs difficult tasks so much easier. Amid this, the amalgamation of AI and robotics introduces interesting interplays. The industry can be benefitted from earnest promises of AI+Robots.

Using AIs subset Machine Learning (ML), if we design a system where the device learns from its mistakes and automatically compensates for errors as it works, then weve successfully combined AI and robotics. The combination of these technologies has the potential to make peoples lives a lot easier. People can monitor the performance of robots as opposed to manually performing tasks themselves. The downside of these systems would be that the labor demand for any industry that utilizes these robots will be far less. The robots will correct themselves if any errors arise, and only massive, glaring problems would need a human to address them.

Moreover, we already have machines that can perform these complex tasks and learn from them. The UC Berkeley PR2 can fold laundry and learn the way youd like it to be folded, but the cost of such a system is prohibitively expensive. While businesses through increased demand to drive down prices will eventually make these machines affordable, for the time being (and for quite a while into the future), the application of AI and robotics as a combined unit remains too expensive to apply to routine tasks. As development in the field moves forward, we may see robots that work on machine learning within the next decade. The question of whether humanity is ready for the impact it will make both socially and economically is something that experts are still debating today.

According to a report, in todays global manufacturing sector, there are a few main ways in which AI is deployed along with robotics. AI is a highly useful tool in robotic assembly applications. When combined with advanced vision systems, AI can help with real-time course correction, which is particularly useful in complex manufacturing sectors like aerospace. AI can also be used to help a robot learn on its own which paths are best for certain processes while its in operation.

Moreover, robotics packaging uses forms of AI frequently for quicker, lower cost and more accurate packaging. AI helps save certain motions a robotic system makes, while constantly refining them, which makes installing and moving robotic systems easy enough for anybody to do.

Furthermore, robots are now being used in a customer service capacity in retail stores and hotels around the world. Most of these robots leverage AIs natural language processing abilities to interact with customers in a more human way. Often, the more these systems can interact with humans, the more they learn.

A handful of robotic systems are now being sold as open-source systems with AI capability. This way, users can teach their robots to do custom tasks based on their specific applications, such as small-scale agriculture. The convergence of open source robotics and AI could be a huge trend in the future of AI robots.

When working together, robots are smarter, more accurate and more profitable. AI has yet to come close to reaching its full potential, but as it advances, so will robotics.

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Smriti is a Content Analyst at Analytics Insight. She writes Tech/Business articles for Analytics Insight. Her creative work can be confirmed @analyticsinsight.net. She adores crushing over books, crafts, creative works and people, movies and music from eternity!!

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TTA’s robotics team heading to competition in Dayton – 13abc Action News

TOLEDO, Ohio (WTVG) - The robotics team at Toledo Technology Academy is all geeked up about Tuesday's episode of Blackish. It centers around a robotics competition.

"I think its great, and it spreads the message of STEM and just a great addition to the show," said Cordelia Vanderveer, who implements the code to power Team 279's new robot.

The TTA students are taking their robot to competition in Dayton on Wednesday.

"First, robotics is a fantastic program that is the hardest fun kids can ever have. They work side-by-side with professional engineers and mechanics, and they have to design a robot from concept to finished product in six weeks," TTA teacher and robotics coach Dale Price said

The team has spent hours during the week and on the weekends getting this 90-pound robot ready to navigate an obstacle course.

"This year our objective is to pick up these balls and and put them into slots in a wall," said team member Cecilia Dietsch.

The robot also has to suspend off a swinging bar on the obstacle course.

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TTA's robotics team heading to competition in Dayton - 13abc Action News

Sports for the mind: Annual FIRST Robotics Competition returns to Myrtle Beach – WBTW

Myrtle Beach, SC (WBTW) The annual FIRST Robotics competition is back this weekend at the Myrtle Beach Convention Center.

More than 1,000 high school students, teachers and engineers will compete with Star Wars themed robots in the three-day competition.

This year, there are 64 teams from 8 states competing; 10 of those teams are from Horry County and this years rookie team is from Georgetown.

Each team uses the same kit of parts to come up with a unique design and has been working on their robot for about six weeks leading up to the competition.

Today is a practice and inspection day for teams, but starting tomorrow morning and continuing through Saturday, teams will get the chance to compete.

Although all teams are vying for first place, there are more than 20 other awards up for grabs for things like entrepreneurship, inspiration and engineering.

Frank Lanford, a founder of the Palmetto Region of FIRST Robotics, tells News13 its inspiring to see the different things students come up with each year, and their hope is the competition inspires students to further their STEM education.

Thats the vehicle to get kids to a point of incorporating STEM activities and working with engineers, Lanford said. The whole purpose again is on inspiration and that robot from our standpoint is the vehicle that drives that. Its the fun part.

Parking and admission for the competition is free at the Myrtle Beach Convention Center.

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Sports for the mind: Annual FIRST Robotics Competition returns to Myrtle Beach - WBTW

For warehouse robotics, the dock is the final frontier – DC Velocity

Material Handling February 27, 2020

material handling | Automation

Despite rising interest in automated truck loading/unloading equipment, adoption has been sluggish to date. There are three reasons for that, experts say.

By Victoria Kickham

A near full-employment economy is making it difficult to find warehouse help and driving more companies toward automated solutions that can ease the labor crunch and speed operations throughout the facility. Such solutions are becoming increasingly common for storing and retrieving inventory as well as picking and packing orders, but there's one area of the warehouse where automated equipment is still pretty scarce: the loading dock.

The main reason? An inconsistent environment. Trucks and trailers come in different shapes and sizes, and their contents often vary in weight, shape, and size as well. On top of that, items may have been loaded inconsistently, making it even more difficult to locate and extract specific boxes or pallets. It's tough to apply machine-based solutions in such a variable environment, according to Tim Criswell, senior vice president of innovation and technology development for Daifuku Wynright Corp., which makes and installs material handling solutions, including robotic truck loading and unloading equipment.

"When you're trying to automate [operations in] trailers specifically, there's much more variety in the location of the products you're trying to move and [in] their size and shape and position within the trailer," Criswell says, explaining the difficulty of developing technology that can grasp and move a variety of items without damaging articles around them or bumping into trailer walls, for instance. "All those things are easy for a human to do, [but it's] more challenging to automate that process."

Easy for humans to do, yes, but not so enjoyable in practice. Loading or unloading hundreds of heavy boxes, often in extreme temperatures, makes the loading dock an area of high employee turnover for many operationsand a prime driver of what Criswell and others describe as a steadily growing interest in robotic truck loading and unloading solutions. DC Velocityasked industry experts to weigh in on where the technology stands today and what may be holding it back from widespread adoption. They identified three key challenges.

CHALLENGE #1: VARIETY

The deployment of automated truck loading and unloading equipment remains fairly limited, largely because of the need to accommodate a wide variety of items in a changing environment. As Criswell explains, the technology thus far has been best suited to operations that handle a high volume of a limited number of stock-keeping units (SKUs), where the items are loaded on pallets or in similarly sized cases and boxes. The most common solutions involve a robotic arm and conveyor operating inside the trailer. In loading applications, boxes and cases are fed into the trailer on the conveyor; a robotic arm at the end of the conveyor picks up the boxes individually and stacks them systematically from back to front. Unloading works much the same way, with a robotic arm picking up individual cases and/or boxes and depositing them on an outbound conveyor. Solutions are customized to meet specific needs and loading/unloading environments.

The method works well for high-volume operations than can justify the steep cost of the technologyincluding cargo container import operations, which are pretty much the "sweet spot," Criswell saysbut not so well in applications that call for unloading a large variety of SKUs. That's why today's challenge in developing truck loading and unloading solutions lies in refining the technology to create an off-the-shelf version that can handle a more diverse product mix. The key to thatespecially for unloading applicationsis utilizing today's 3D vision technology, which allows engineers to program equipment that can "see" into the trailer and adjust its grasping and retrieval mechanisms to fit the specific application.

CHALLENGE #2: FRAGILITY

Companies are beginning to make headway on new loading and unloading methods that can address the varied conditions on the loading dock. One of the newest trends involves technology that loads and unloads boxes quickly, though not necessarily gently. In unloading applications, for example, such solutions have a robotic arm that incorporates vacuum technology that can quickly "grab and toss" items onto an outbound conveyor.

The process increases the number and variety of items a system can handle and boosts throughput, allowing the technology to be applied to more unloading situations and making the economics more attractive to customers, Criswell explains. But it's hardly a universal solution. While such systems work well in operations that handle relatively sturdy itemsincluding parcel environments, where robust packaging makes it possible to grab and toss itemsthey're not well suited to operations that handle fragile products, like cases of wine or boxes of glassware.

"The challenge is that it can damage products because you're not identifying them and being careful to pick up a case at a time," Criswell says. "You're grabbing what you can and letting it fall, so, depending on the product, there's a possibility of damage."

Such challenges illustrate the difficultythough not the impossibilityof applying robotic automation to the loading dock, adds Joe Zoghzoghy, chief technology officer for Bastian Solutions, a material handling systems integrator that also develops robotic truck loading and unloading equipment.

"[Robotic loading and unloading] is not a solution that you can provide right away to customers because it's a very complicated setup," he says, emphasizing the need to tailor solutions to different clients and their varying requirements. "[But] a lot of people are trying to figure it out and get it to a point where it can be scaled up. ... There are a lot of challenges, but it's only a matter of time."

The fast pace of advancing technology is helping to move the process forward. As technological capabilities expand and costs come down, designers and engineers have a wider variety of tools at their disposal and can create more flexible, affordable solutions, Zoghzoghy adds.

CHALLENGE #3: ROI

As Zoghzoghy notes, cost still remains the biggest obstacle to widespread adoption of automated truck loading and unloading solutions. Although implementation costs can vary widely depending on a company's needs, experts warn that the outlay can be considerable. Nonetheless, demand for such solutions is only going to increase.

Statistics on the warehouse automation market in general bear this out, with some projections showing the overall market for automation will more than double by 2025reaching $27 billion compared with $13 billion in 2018. What's more, the market for collaborative robotsthose that work alongside humansis set to increase to $5.6 billion in 2027 from $550 million in 2018, according to research firm Interact Analysis, which says the majority of that growth will be driven by the logistics sector. Today, material handling, assembly, and pick-and-place applications of all kinds account for about three-quarters of the collaborative robot market, the company said in a 2019 report.

It only makes sense that the loading dock will eventually see its fair share of that investment.

"The trend is that technology is getting better and more cost-effective, the labor shortage is making demand from customers greater, and at some point, those lines cross and the idea is that it becomes more broadly used in the market," Criswell says.

Zoghzoghy agrees.

"I definitely see this type of robotic solution becoming more common on the [loading] dock over the next few years. But I don't think it will be overnight; it will be a process," he says. "A lot of people are excited to see this type of technology within their hands, and we are working hard to get it out there."

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Idaho’s biggest robotics competition hosted at ISU – LocalNews8.com

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POCATELLO, Idaho (KIFI/KIDK) - High schools from across the state were represented at Idaho's biggest robotics competition on Thursday.

The VEX Robotics Competition is the state championships for robotics teams, a culmination of nearly a year of hard work.

Idaho State University hosted the tournament for the first time, led by ISU's Robotics Club.

After qualifying in regionals, thirty teams came to compete at the state's biggest event. Teams came from Nampa, Rigby, Weiser, Rexburg and other areas of Idaho.

They get super excited. They spend all this time programming, building, trouble-shooting to get it to what they envision on paper. Then they get to build it and see it work or not work, said Dane Davids, the president of the Robotics Club.

Students are given guidelines to create a robot to finish a task. This year's task: stacking blocks.

Winners will be announced at 4:00 p.m. on Thursday. Five teams will get to go on to the World Championships in April. Results can be found here.

Education / Idaho / Local News / Pocatello / Top Stories

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Idaho's biggest robotics competition hosted at ISU - LocalNews8.com

Where top VCs are investing in manufacturing and warehouse robotics – TechCrunch

Robotics and automation tools are now foundational parts of warehouses and manufacturing facilities around the world. Unlike many other robotics and AI use cases, the technology has moved well beyond the theoretical into practice and is used by small suppliers and large companies like Amazon and Walmart.

Theres no doubt that automation will transform every step of the supply chain, from manufacturing to fulfillment to shipping and logistics. The only question is how long such a revolution will take.

Theres still plenty of market left to transform and lots of room for new players to redefine different verticals, even with many of the existing leaders having already staked their claim. Naturally, VCs are plenty eager to invest millions in the technology. In 2019 alone, manufacturing, machinery and automation saw roughly 800-900 venture-backed fundraising rounds, according to data from Pitchbook and Crunchbase, close to two-thirds of which were still early-stage (pre-seed to Series B) investments.

With our 2020 Robotics+AI sessions event less than two weeks away, weve decided to perform temperature checks across some of the hottest robotics sub-verticals to see which trends are coming down the pipe and where checks are actually being written. Just as we did with construction robotics last week, this time, we asked seven leading VCs who actively invest in manufacturing automation robotics to share whats exciting them most and where they see opportunities in the sector:

Which trends are you most excited about in manufacturing/warehouse automation robotics from an investing perspective?

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Where top VCs are investing in manufacturing and warehouse robotics - TechCrunch

Ripcord raises $45 million to digitize paper records with robotics and AI – VentureBeat

Staff at a California school district reportedly spent 20% of their time searching for lost documents until they retained the services of a records management company. Its not a unique problem the average manager spends four weeks out of the year looking for records, by some estimates.

In search of a solution five years ago, three entrepreneurs NASA veteran Kim Lembo, former Apple senior engineering scientist Alex Fielding, and Kevin Hall cofounded Ripcord, a startup developing a portfolio of robots that can digitize paper records. Fresh off a series B funding round, the Hayward, California-based company today announced it has raised $45 million in series B funding, bringing its total raised to over $120 million ahead of a planned global expansion.

Automotive marketplace software developer CDK Global led the round, ostensibly to further its mission of streamlining the car buying experience by reducing errors and costs at dealerships. CDK Globals mission is to help dealerships improve the customer experience in a digital-driven world, and Ripcords intelligent approach to digitization supports our vision and benefits both dealerships and consumers tremendously, said CDK president and CEO Brian Krzanich, previously the CEO of Intel. CDK processes about 65% of the nations auto loans annually. Ripcord will help us meet data compliance demands while eliminating outdated, cumbersome processes to bring the car buying experience into the modern era.

Ripcord processes over 1 billion pages per year for customers like Coca Cola, BP, Chevron, MUFG Bank, UCLA, Cantium, and a number of Fortune 100 companies including three of the top five financial services companies and three of the top five insurance carriers. The company develops physical robots that autonomously scan documents, even removing staples. Courtesy of partnerships with logistics firms, Ripcord transports files containing barcoded labels with metadata to its facilities, where it scans them and either stores them to meet compliance requirements or shreds and recycles them. Fees start at around $0.004 per page, per month.

Employing computer vision, lifting and positioning arms, and high-quality RGB cameras that capture details at 600 dots per inch, Ripcords robots are able to scan at 10 times the speed of traditional processes and handle virtually any format while classifying and extracting data. On the software side, the companys Canopy platform uploads documents to the cloud nearly instantly, all stored as parsable and searchable PDFs. Canopy includes personal workspaces and hierarchical content navigation, as well as integrations with popular enterprise resource planning, customer relationship management, and human resource systems. And it can take unstructured data and organize it to feed robotic process automation pipelines for end-to-end automation.

Once you pick a car, all you want to do is drive it off of the lot. But today, there is a mountain of repetitive paperwork and manual data entry blocking the exit, said Ripcord CEO Fielding, speaking about the CDK investment. Together with CDKs expertise in automotive and our unmatched digitization capabilities with intelligent robotics and cutting edge software, we are going to get new car owners on the road more quickly and help dealers perfect compliance and earn greater margins. With this new financing, well continue to expand our offering and transform additional vertical markets across North America and globally.

Existing investors Kleiner Perkins, GV, Steve Wozniak, Silicon Valley Bank, Lux Capital, Tyche Partners, Icon Ventures, and Baidu also participated in the latest round. Notably, Apple cofounder Steve Wozniak contributed to Ripcords series A.

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Ripcord raises $45 million to digitize paper records with robotics and AI - VentureBeat

Wawasee robotics event ends with ‘clash of the green’ – Goshen News

SYRACUSE Wawasee High School hosted a double division event Saturday with 39 teams competing in the high school division and 27 teams competing in the middle school division on opposite sides of Wawasees spectator gymnasium.

The final match was a clash of the green between first seed Zionsville and second seed Wawasee, both school colors being green. Wawasee teams 574C Centurion, with members Evan Rassi, Taylor Fiedeke and Evan Brower, (rank 3, 6-1-0) and 574D Immortal, with members Noah Beckner, Jack Collins, Wesley Hays and Nathan Smith, (rank 12, 5-2-0) fell to Zionsville teams 7701X Xenith and 7701T Tesseract, 44 to 36.

Most of the top ranked teams from Indiana came to Wawasee to experience high level competition before we face off against each other at State in two weeks, Wawasee head coach Jed Wandland said. As much as we wanted to win, we wanted to go up against Xenith and Tesseract who have already qualified for World Championships.

All Wawasee teams advanced into the elimination rounds in the final regular season tournaments on Saturday.

Team 574A, with members Andrea Mickley and Sydni Ewing, (rank 24, 3-4-0); 574B, with members Vanessa Wright, Bailey Smith and Macy Powell, (rank 29, 2-5-0); 574G, with member Harry Doss, (rank 31, 2-5-0), made it into the round of 16. Team 574F, with member Jackson Coverstone, (rank 4, 6-1-0) powered through the quarterfinals and into the semifinal rounds before losing to the 574C and D alliance.

Team 574H Samurai, with members Charlie Krull, Michael Wippel and Alan Warren, charged ahead in the middle school division, ranking sixth for the day with a 5-2-0 record. They made it into the quarterfinal rounds before losing 14-18.

The state tournament will be held March 7 at Lucas Oil Stadium in Indianapolis. Doors open to the public at 9 a.m., qualifications start at 10:30 a.m., finals at 3:30 p.m., and awards and closing ceremonies will follow.

Tourney results include:

Middle School Division

574H 6th (5-2-0), 16th (4 pts) Robot Skills

High School Division

574C 3rd (6-1-0), 5th (108 pts) Robot Skills

574F 4th (6-1-0), 13th (33 pts) Robot Skills

574D 16th (5-2-0), 3rd (132 pts) Robot Skills

574A 24th (3-4-0), 20th (8 pts) Robot Skills

574B 29th (2-5-0), 26th (1 pts) Robot Skills

574G 31st (2-5-0), 16th (21 pts) Robot Skills

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Wawasee robotics event ends with 'clash of the green' - Goshen News

Robotic Assistance and the Future of Energy Sustainability – AltEnergyMag

We already know that robotics can help protect our oceans in a number of ways, from improving wastewater treatment to improving fuel efficiency on ships. Thus, it makes sense that robotic assistance can have a positive impact on the sustainable energy sector.

Robotic Assistance and the Future of Energy Sustainability

Article from | Jori Hamilton

As technology continues to advance across global industries, robotics holds the key to increased accuracy, precision, and cost savings. But robotics may also play an important role in the realm of energy sustainability. This is especially true when one considers the environmental benefits of automation.

We already know thatrobotics can help protect our oceansin a number of ways, from improving wastewater treatment to improving fuel efficiency on ships. Thus, it makes sense that robotic assistance can have a positive impact on the sustainable energy sector.

As early as 2011, researchers postulatedthe ways in which robotics could assist with sustainable development. While acknowledging that industrial robotics is often associated with an unsustainable economic model, researchers Guido Bugmann and Mel Siegel concluded that the industry also provides qualitative benefits towards sustainability. Further, they found that robotics is a useful tool for waste reduction, increasing food production yields, and managing alternative power generation units.

Nearly a decade later, we are beginning to see the fruits of sustainable robotic assistance in numerous industries, from agriculture to energy production. So what does the future hold for the continued pairing of robotics and sustainability?

Lets explore the ways in which robotics is used in the alternative energy sector. Among sustainable energy sources, solar power tends to get the most press, even though it only makes up about1.5% of the total electricity generated in the U.S., according to the U.S. Energy Information Administration (EIA). The most productive renewable energy sources, in fact, are hydropower and wind power.

Nonetheless, it is in the realm of solar energy that robotic assistance may prove the most beneficial. For starters, the solar energy generation process can be automated, and therefore streamlined, with help from robotics. Robots can also perform integral tasks that are dangerous for humans, such as removing dust from solar cells. Thejob of dust removal is integral to the maximum output of solar energy systems, especially in dust-prone regions like Africa and Americas desert Southwest.

Eliminating dangerous jobs, in fact, is a key element inthe future of robotics and robotic process automation. Robotic assistance has already begun to replace a number of high-risk jobs, such as assembly line and manufacturing jobs, and medical lab technicians. Jobs in the alternative energy sector may just be the next industry on the robotic assistance radar.

Integrating robotics into the alternative energy industry comes with a number of challenges. One of the largest is the current power grid itself, primarily designed to transport energy from large power plants running off of dirty sources such as natural gas and coal. Thus, the majority of the U.S. power grid is outdated and in serious need of an overhaul before alternative energy can be truly integrated as a viable source of power.

Scientists agree thatnew approaches to power grid designare necessary to propel the energy industry into the future. And so-called smart power grids may provide the answer, by integrating various renewable energy sources and helping utility companies to reduce outages. In order to achieve greater efficiency and sustainability, AI and automation are necessary components in the greater picture of energy efficiency.

Robotic assistance may also help preserve natural resources while improving efficiency. For example, in response to the threat to salmon populations at dams in the Pacific Northwest, the Pacific Northwest National Laboratory (PNNL) has taken an innovative approach. The PNNL introduced small devices, dubbed sensor fish, into waterways surrounding dams in the region.

Once submerged, the robotic sensor fish then collect data such as water pressure and orientation. It is hoped that theinformation gathered by sensor fishcan help dam engineers and operators design and manage hydropower plants in a more fish-friendly manner, writes GeekWire.

This is an important consideration, as hydroelectricity is the most prominent renewable energy source in the U.S.,generating 44% of the nations renewable energy. Americas largest hydroelectric dam is the Grand Coulee Dam, on the Columbia River, and sensor fish likely swim in its waters. In this way, robotic assistance may serve as a catalyst to the more mindful and eco-friendly construction and operation of hydropower plants.

Of course, hydropower is only a small piece of the overall snapshot of energy sustainability. As we have seen, smart power grids may keep some of the guesswork out of the power grid, reducing outages and providing customers with real-time info about their energy consumption habits.

And without automation, this type of innovation wouldnt be possible. As such, the field ofrobotic process automation (RPA) has streamlined a number of industries, serving as the predecessor to automation. In 2020 and beyond, robotic assistance is moving beyond RPA and can help fuel the push for widespread energy sustainability. It may even provide a solution to combating the effects of climate change.

The majority of Americans agree that climate change is real, and it is causing great harm to the planets ecosystems as well as human health. Whats more, approximately 8 in 10 U.S. citizens agree that human activity is fueling climate change, reportsthe Washington Post. But counteracting that change may take more than simple human intervention the robotics industry is ready for action, and ultimately poised at the helm of the sustainability movement.

AboutJori HamiltonJori is an experienced freelance writer from the Northwestern U.S. She covers a wide range of subjects but takes a particular interest in covering topics related to Technology, Artificial Intelligence, Machine Learning, and Cybersecurity.

* Image Source:https://unsplash.com/photos/zb29xBwpt6c

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Robotic Assistance and the Future of Energy Sustainability - AltEnergyMag

Eastern Carver County robotics team advances to world championship – SW News Media

The top 48 of 205 Minnesota High Tech Kids FIRST Tech Challenge robotics teams competed on Feb. 7-8 in the Minnesota High Tech Kids FIRST Tech Challenge Stratasys State Championship held at Washington Technology Magnet School.

Nine of those teams now have the opportunity to participate in the FIRST World Championship. Over 30 countries are represented at the event, which will be held April 29-May 2 at the TCF Center in Detroit, Michigan.

Wrench Dressing," Minnesota FTC Team 9415 represented Eastern Carver County Schools at the state tournament, and is one of the nine Minnesota teams advancing to the World Championship.

What I love about this program is that it teaches us gracious professionalism not only with our own team, but other teams competing in the tournaments with us. Gracious Professionalism is a part of everything we do with our FTC season, it encourages high-quality work but also respect & the value of others," stated Josh Bodmer, team representative.

Team members include (from Chanhassen High School unless noted): Joshua Bodmer, senior; CJ Newhouse, senior; Kaleb Wirtzfeld, senior; Benjamin Chua, senior; Jake Norbie, senior; Christopher Patz, sophomore; Delia Derner, freshman (Chaska); Andrew Chua, sophomore; Cody Boie, sophomore; Tommy Good, senior.

Additional advancing teams come from: Maple Grove, Edina, Otsego, Apple Valley, Shoreview, Woodbury, Eden Prairie and Apple Valley.

FIRST Tech Challenge is an international robotics program for students, ages 12-18.

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Eastern Carver County robotics team advances to world championship - SW News Media

Are Autonomous Mobile Robots at the Tipping Point? – Automation World

Over the last few decades, the progression of industrial robotic technologies has continued to advance at a rapid rateeven long after the robot boom of the 1980s in the automotive industry. Now, many robotic industry players view autonomous mobile robots (AMRs) as the next big movement in industry to address labor shortages, the growing demand for customized order fulfillment, and increasingly dynamic production environments that are pushing manufacturers to employ ever-leaner, more agile technologies.

Most robot industry insiders see AMRs as a replacement for the lengthy conveyor belt lines and automated guided vehicles (AGVs) used to automate material handling tasks in the past. AMRs are seen as a good replacement for AGVs because they do not require permanent wire strips or magnetic tracks along the floor to guide their path. Instead, AMRs navigate through the use of light detection and ranging (LIDAR) technology, and on-board intelligence and collision-detection safety systems that allow for the real-time selection of the most appropriate route to any given destination at a particular moment in time.

Fetch Roboticss CartConnect AMR can pick up and drop off carts from anywhere within a facility. Source: Fetch Robotics

The benefits of AMRs arent difficult to imagine. For one, the lack of infrastructure required to deploy AMRs reduces upfront costs, allowing for a much faster return on investment. Beyond that, the flexibility of being off a fixed track can maximize the use of space in a large plant, and help meet the changing needs of an increasingly adaptive manufacturing landscape.

Manufacturing has really changed, and as the need for adaptive manufacturing has become higher and higher, real estate has become more and more expensive, so plant floor space is now a valuable commodity, says Ed Mullen, vice president of salesAmerica for Mobile Industrial Robots (MiR). Being able to shrink everything down and make changes on the fly is really going to start paying dividends, and AMRs allow for that.

Melonee Wise, CEO of Fetch Robotics, a company that offers Robots-as-a-Service (RaaS), concurred, noting that, aside from the cost savings AMRs entail, the changing demands of industry itself will increasingly require them.

If you look at the environments that theyve [AMRs] been deployed in for manufacturing, especially in the realm of consumer electronics, the flexibility is really key. They change their work cell configuration and their line plan delivery configuration sometimes every several months or even weeks, Wise said. Having the ability to completely change the routes that the [AMR] fleet is moving along quickly is going to be a big win.

inVias Picker robots are designed to move inventory safely from one point within a facility to another. Source: inVia Robotics

Spurring Broader Adoption

As clear as the benefits may be for AMRs, manufacturing remains a risk-averse industry. While adopting new technologies is required to maintain a competitive advantage, doing so too soon can lead to unexpected losses, says Matthew Rendall, CEO of Otto Motors. This is major reason why the proliferation of AMRs has proceeded slowly to date. However, Rendall and others feel that the market is finally beginning to shake-out its kinks, and a proverbial tipping point is just around the bend.

In particular, the shift toward multi-modal functionality has strengthened the value proposition of AMRs. Take for example Stablis HelMo robot, which features a robotic arm mounted on top of an autonomous mobile cart. In the past, an autonomous mobile cart may have offered tremendous time savings just by moving materials throughout a plant. But the picking, loading, and unloading tasks still had to be carried out by humans. With the addition of a robotic arm, HelMo represents an autonomous mobile asset with multiple uses, and thus a stronger case for investment.

What we see from time to time is that people have a hard time justifying the use of a robot for a single purpose, says Sebastien Schmitt, robotics division manager of Stabli North America. With more robotics coming into play, you no longer have the problem of getting parts loaded from the station to your cart or unloaded from your cart to your station, and AMRs have truly come into their own as a product.

MiR is also looking to capitalize on the prospect of a flexible AMR capable of performing various functions to help justify its upfront costs, but its approach differs from Stabli. Rather than offering a general-purpose robot like HelMo, MiR favors a modular approach, whereby their various AMR offerings act as blank slates that other pieces of hardware can be integrated with.

Were really targeting verticals in manufacturing because thats where our low-hanging fruit is, but were [also] opening up our product to many different industries, including hospitals, airports, and logistics. Thats why were starting to see an eco-system of third-party companies looking to build various accessories for the tops of our vehicles, Mullen says. So, instead of being a company that says: Here is a solution, make it work for your application; we say: Heres a tool, and lets develop the right solution for your application.

Perhaps the most compelling business model for the evolving AMR space is robotics-as-a-service (RaaS), which allows companies to contract third-party robots that can be rapidly deployed for a temporary period of time, while also attaining product expertise to assist those who may be unfamiliar with the technology. (See the November 2019 Automation World feature article Robots at Your Service: http://awgo.to/raas).

Fetch Robotics Wise, along with Lior Elazary, CEO and co-founder of inVia Robotics, another RaaS provider, both contend that the unique RaaS model, largely enabled by cloud computing, can ease the learning curve for companies poorly versed in robotics and provide a quicker, more discernible return on investment.

inVia, for its part, drives this point home by employing a billing model that charges per item moved, rather than per robot, an economic choice that places the onus on inVia to move products more efficiently, rather than merely deploying more robots.

In the past, if you look at some robotics companies, theyve sold a bunch of robots, which was great for them, but at some point their sales flat-lined because the customers didnt really know how to best utilize the robots, Elazary says. [Our model] gives them great cost certainty, as well as the reliability that if they need half a million units moved, we can support that.

Yet, according to Elazary, an even greater benefit offered by RaaS is that it opens up the AMR market to small- and medium-sized businesses by removing risk, reducing upfront capex costs, and allowing for rapid scalability.

If you look at Amazon, they had to pay the ultimate price. They actually bought an entire robotics companyKiva Systemsfor $700 million. Most of our customers, even at the highest enterprise level, cant afford to do that, he says. What were allowing them to do is basically have that throughput now and see almost immediate ROI without having to project so many years into the future.

Omrons LD-250 mobile robot has a 250kg payload capacity and is designed to work alongside people. Source: Omron

The Importance of Software

Elazary, Wise, Schmitt, and Mullen all contend that the most promising developments in the AMR space will be found in the domain of software, rather than hardware, with cloud computing, machine learning, and more sophisticated fleet management solutions all taking center-stage as the market heats up.

Wise suggests that cloud connectivity will be imperative to companies looking to get the most out of their AMRs due to the necessity of data collection, consolidation, and analysis to enable AMRs to navigate increasingly complex environments.

I think its important to realize that the warehouse is actually the wild west, whether its a manufacturing or distribution facility. There is a lot of complexity and difficulty there, and this is not a solved problem. If you look at the algorithms and the machine learning that we do today, its pretty sophisticated, she says. Thats really enabled by the cloud, and if youre not in the cloud, youre going to miss a lot of that opportunity.

To surmount the robotics skills gap, several companies, such as Omron, have designed AMR software that can create an internal map of an environment by being driven around with a joystick. According to Darrell Paul, market manager for robotics and motion at Omron, the process is no more difficult than playing a video game. Once an initial tour of a plant floor is complete, Omrons fleet management software can designate zones within the space where different rules are applied, such as speed limits, stopping at intersections, or only moving in one direction down certain corridors.

Elsewhere, startup companies such as California-based Formant are offering the promise of a general-purpose fleet management platform that can integrate many different types of AMRs into a single system.

The MiR100 from Mobile Industrial Robots moving equipment in a Ford facility. Source: Mobile Industrial Robots (MiR)

Labor Concerns andThe Reality of Automation

While the accelerating pace of development in the robotics space may excite engineers and technologists, some fear that the growing prevalence of automation could pave the way to the displacement of human workers by machines. In reality, many of the jobs that AMRs are performing are not being adequately addressed with human labor. In fact, according to Wise, one of Fetchs largest clientsa large automotive facilitytypically sees between 30-40 of its 160 workers absent from any given shift. As a result, robots are increasingly viewed as critical components of production uptime.

Moreover, as robots move into the workplace, humans in the facility will be able to focus on more fulfilling, value-added tasks.

Were working now in a small manufacturing community in Wisconsin, and we were very successful retraining everyone to work with our Ottos. The maintenance personnel and the electricians all used to work with PLCs and conveyors, and after going through our retraining program, theyve leveled up their career and are now one of the first groups in the region to be skilled in AMR maintenance, Rendall says. Thats a really marketable skill, and I think its going to do well for them in the foreseeable future.

For all the material progress thats been made in the past century, the sad truth of early industrialization is that it made man the slave of the machine, chained to immovable production lines and conveyors that trudged forward with a steady, unrelenting rhythm. Now, the emergence of AMRs and other advanced robotics is unshackling the labor force from the static production methods of the past and helping put people back at the helm of operations.

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Are Autonomous Mobile Robots at the Tipping Point? - Automation World

People Prefer Robots to Explain Themselves and a Brief Summary Doesn’t Cut It – Government Technology

Artificial intelligence is entering our lives in many ways on our smartphones, in our homes, in our cars. These systems can help people make appointments, drive and even diagnose illnesses. But as AI systems continue to serve important and collaborative roles in peoples lives, a natural question is: Can I trust them? How do I know they will do what I expect?

Explainable AI (XAI) is a branch of AI research that examines how artificial agents can be made more transparent and trustworthy to their human users. Trustworthiness is essential if robots and people are to work together. XAI seeks to develop AI systems that human beings find trustworthy while also performing well to fulfill designed tasks.

At the Center for Vision, Cognition, Learning, and Autonomy at UCLA, we and our colleagues are interested in what factors make machines more trustworthy, and how well different learning algorithms enable trust. Our lab uses a type of knowledge representation a model of the world that an AI uses to interpret its surroundings and make decisions that can be more easily understood by humans. This naturally aids in explanation and transparency, thereby improving trust of human users.

In our latest research, we experimented with different ways a robot could explain its actions to a human observer. Interestingly, the forms of explanation that fostered the most human trust did not correspond to the learning algorithms that produced the best task performance. This suggests performance and explanation are not inherently dependent upon each other optimizing for one alone may not lead to the best outcome for the other. This divergence calls for robot designs that takes into account both good task performance and trustworthy explanations.

In undertaking this study, our group was interested in two things. How does a robot best learn to perform a particular task? Then, how do people respond to the robots explanation of its actions?

We taught a robot to learn from human demonstrations how to open a medicine bottle with a safety lock. A person wore a tactile glove that recorded the poses and forces of the human hand as it opened the bottle. That information helped the robot learn what the human did in two ways: symbolic and haptic. Symbolic refers to meaningful representations of your actions: for example, the word grasp. Haptic refers to the feelings associated with your bodys postures and motions: for example, the sensation of your fingers closing together.

First, the robot learned a symbolic model that encodes the sequence of steps needed to complete the task of opening the bottle. Second, the robot learned a haptic model that allows the robot to imagine itself in the role of the human demonstrator and predict what action a person would take when encountering particular poses and forces.

It turns out the robot was able to achieve its best performance when combining the symbolic and haptic components. The robot did better using knowledge of the steps for performing the task and real-time sensing from its gripper than using either alone.

Symbolic and haptic explanations of a robot opening a medicine bottle shown over time. The top row is stills from a video of the robot carrying out the task. The middle row shows a symbolic explanation of the task. The bottom row shows a haptic explanation. Edmonds et al., Sci. Robot. 4, eaay4663 (2019)

Now that the robot knows what to do, how can it explain its behavior to a person? And how well does that explanation foster human trust?

To explain its actions, the robot can draw on its internal decision process as well as its behavior. The symbolic model provides step-by-step descriptions of the robots actions, and the haptic model provides a sense of what the robot gripper is feeling.

In our experiment, we added an additional explanation for humans: a text write-up that provided a summary after the robot has finished attempting to open the medicine bottle. We wanted to see if summary descriptions would be as effective as the step-by-step symbolic explanation to gain human trust.

We asked 150 human participants, divided into four groups, to observe the robot attempting to open the medicine bottle. The robot then gave each group a different explanation of the task: symbolic, step-by-step, haptic arm positions and motions, text summary, or symbolic and haptic together. A baseline group observed only a video of the robot attempting to open the bottle, without providing any additional explanations.

We found that providing both the symbolic and haptic explanations fostered the most trust, with the symbolic component contributing the most. Interestingly, the explanation in the form of a text summary didnt foster more trust than simply watching the robot perform the task, indicating that humans prefer robots to give step-by-step explanations of what theyre doing.

UCLA researchers test a robot after it has learned how to open a medicine bottle from observing human demonstrators. UCLA Samueli School of Engineering, CC BY-ND

The most interesting outcome of this research is that what makes robots perform well is not the same as what makes people see them as trustworthy. The robot needed both the symbolic and haptic components to do the best job. But it was the symbolic explanation that made people trust the robot most.

This divergence highlights important goals for future AI and robotics research: to focus on pursuing both task performance and explainability. Only focusing on task performance may not lead to a robot that explains itself well. Our lab uses a hybrid model to provide both high performance and trustworthy explanations.

Performance and explanation do not naturally complement each other, so both goals need to be a priority from the start when building AI systems. This work represents an important step in systematically studying how human-machine relationships develop, but much more needs to be done. A challenging step for future research will be to move from I trust the robot to do X to I trust the robot.

For robots to earn a place in peoples daily lives, humans need to trust their robotic counterparts. Understanding how robots can provide explanations that foster human trust is an important step toward enabling humans and robots to work together.

[ Youre smart and curious about the world. So are The Conversations authors and editors. You can read us daily by subscribing to our newsletter. ]

Mark Edmonds, Ph.D. Candidate in Computer Science, University of California, Los Angeles and Yixin Zhu, Postdoctoral Scholar in Computer Science, University of California, Los Angeles

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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People Prefer Robots to Explain Themselves and a Brief Summary Doesn't Cut It - Government Technology

These companies are investing billions so robots can perform surgery without a doctor in the room – MarketWatch

The same sorts of detection and emergency-braking features that have helped make cars safer may soon be coming to the operating room. These could show surgeons things they cant see with their eyes, such as real-time blood flow, and enable them to avoid tissue damage as they operate.

Advancements in artificial intelligence and sensing technologies are breathing new life into the market for robotic-assisted surgical devices, making it easier for surgeons to navigate small incisions, understand changes to the body and limit strain on joints.

Performing a robotic procedure today can look a bit like playing a video game, but as the technology progresses, some futurists think well reach a day when surgeons wont even need to be in the operating room at all during a procedure.

We want to remove surgeons from doing the fine precision work, which is really about how good you are with your hands, and move them into a more supervisory role of how and where you treat disease, said Michael Yip, an assistant professor of electrical and computer engineering at the University of California, San Diego.

Part of Yips research involves ways for a robot to explore the body and give the doctor several courses of action from which to choose. Once the doctor picks, the robot could execute the procedure while the doctor supervises.

The concept of autonomous robotic surgical machines can seem straight out of science fiction, and theyre admittedly many years from ever becoming reality. But Yip thinks the technology could broaden access to top surgeons and specialists, making it so patients in rural hospitals or on battlefields can get the same treatment as those in big metropolitan areas with a wealth of nearby specialists.

Robotic surgery has long been part of American operating rooms, driven primarily by Intuitive Surgical ISRG, -2.66%, which dominates the market for soft-tissue robotic-assisted devices. But a crop of new entrants that happen to be some of the largest health-care companies in the world Johnson & Johnson JNJ, -3.17%, Medtronic MDT, -4.87% and Stryker SYK, -3.38% are investing billions of dollars into a new wave of surgical robots.

After robotic-assisted devices broke on to the scene with fanfare near the beginning of the millennium, excitement plateaued amid questions about whether machines were actually contributing to better patient outcomes compared with traditional laparoscopies, or minimally invasive procedures.

Now, scientists are excited about the potential for artificial intelligence, improved connectivity, and other technological advancements to make robotic surgery more accurate and accessible, giving a boost to a surgical phenomenon that still makes up a sliver of procedures done today.

In robotic-assisted surgery, doctors sit behind a controller and operate computerized instruments as they perform minimally invasive surgery. The technology is meant to let doctors perform these procedures with more precision and control than they might achieve by standing above a patients body and maneuvering the surgical instruments by hand.

The market for robotic-assisted surgery is $4 billion, according to estimates from Medtronic, already half the size of the market for traditional minimally invasive surgery.

Thats striking because robotic procedures currently only make up about 2% of all procedures, by the companys estimates, while traditional minimally invasive surgery accounts for 30% to 35%. More than 60% of procedures are traditional open surgeries done with larger incisions.

Both [open and traditional minimally invasive surgeries] will be drawn into robotic-assisted surgery, said Robert White, Medtronics executive vice president for minimally invasive therapies, at an investor briefing in September according to a transcript. The company plans to launch a soft-tissue robot soon.

Hospitals tend to view robotic machines as marketing vehicles that can make their facilities stand out from rivals. Yet adoption varies depending on procedure type, and the scientific literature is mixed on whether robots provide benefits over more conventional procedures.

Technological enhancements could help the machines more uniformly bear out their early goals of improvements in patient outcomes and cost.

One key issue the surgical industry is looking to solve is visibility. Doctors can only see so much inside the body under regular white light, but some are upbeat that sensory improvements can help them detect in real time what cant be seen with the naked eye.

Merged with 3-D scans of the body taken before a procedure, this information can help surgeons plot a course of action and adapt as a procedure unfolds.

By converting CT scans into three-dimensional models of the body, Stryker claims it can develop a more precise plan for where to place a knee or hip implant. The companys Mako surgical robot takes that blueprint into account during joint replacements, which can allow a machine to set boundaries at the outset and restrain the saw blade before it hits nearby tendons or ligaments, said Robert Cohen, the chief technology officer for Strykers joint-replacement group.

Preventing damage to surrounding bodily structures is one benefit that orthopedic surgeons say they get from robotics. Patients are experiencing less trauma to their joints and that leads to early recoveries, said Dr. Charles Craven, who conducts hip and knee replacements with the Mako at Novant Health Clemmons Medical Center in North Carolina. He sees patients ditching their crutches and narcotics more quickly.

Intuitive Surgical is also drawing on 3-D scans by enabling doctors to create deeper models based on preoperative CT scans. The company fuses this information with fluorescent vision systems and intraoperative images like ultrasounds to give doctors a better real-time portrait of the body even as matter shifts in the middle of an operation, said Brian Miller, who oversees systems and vision at Intuitive.

The future of surgical visibility is starting to parallel the kinds of safety features that have recently made their way to cars. Side mirrors cant technically reflect a drivers blind spots, but newer models add little lights that indicate when another car is next to yours. They also cause the wheel to vibrate if you accidentally drift out of your lane.

The same type of signals can be applied to surgical robotics, said Todd Usen, the chief executive of Activ Surgical. His Boston-based startups software looks at the reflection of wavelengths to detect where veins, vessels and arteries are without the use of traditional dyes. It can also show things surgeons cant see, such as a real-time portrait of blood flow.

Give these details to a surgical robot and the machine could make precise decisions about how far to push an instrument, taking into account information that didnt show up on a pre-op scan. Get within a millimeter of an unexpected bodily landmine and the surgical instruments could automatically freeze without penetrating any further.

Today, only a doctor can make that decision, Usen said.

Right now, even though robotic arms are doing the cutting, surgeons still sit in the room and control the action. Usen sees a world where robots could eventually be working on one part of a surgery while a human surgeon controls another.

Intuitives Miller, however, is skeptical that surgeons could hand control over to a machine when conducting soft-tissue procedures, meaning those that dont involve joints or bones.

With soft tissue, when things can move around, the surgeon still needs to be in full control and make the final determination, he said. With knees, youve got the site fixed and its immobilized, but in soft tissue its a different story.

Remote surgery is already coming up in conversation as hospitals begin to think about 5G connectivity, said Chris Penrose, an AT&T T, -3.69% executive focused on business applications for the new wireless standard that promises faster data speeds and a quicker lag time between when someone executes a command and sees it actually play out.

Youre going to be able to have that same type of reaction time when youre physically present but be able to do that from afar, said Penrose. As that lag time shortens, doctors may be able to do more things remotely, like monitoring patients after surgery or even conducting procedures from another location.

Intuitive Surgical currently has a lock on the market for soft-tissue robotics. The company counts more than 5,500 da Vinci surgical robots in its installed base of devices and has notched a $70 billion market value by selling its machines, which can cost about $2 million apiece depending on features. Players like Stryker, Smith & Nephew SNN, -2.57% and Zimmer Biomet ZBH, -4.51% operate in the orthopedic-reconstructive space.

The field is about to get more crowded in the coming years, with Medtronic, the No. 1 player in the medical-device market, planning an international product launch that could provide some competition for Intuitives da Vinci. Dow Jones Industrial Average stalwart Johnson & Johnson is stepping up its efforts in the space as well, buying up Auris Health for $3.4 billion last year to gain access to the companys Monarch robot for bronchoscopies. It also took control of a former soft-tissue robotics partnership with Verily, Googles life-sciences arm, that focuses on merging robotics and health information.

The emergence of new players could bring down prices for surgical devices and help break Intuitives monopoly in soft-tissue robotics, said Dr. Conrad Ballecer, a general surgeon at Dignity Health St. Josephs Hospital and Medical Center in Phoenix.

Ballecer helps train surgeons outside the U.S. on how to use the da Vinci machine for hernia repairs, and hes found interest overseas, even if limited financial resources hinder how quickly international medical centers can add robots to their hospitals.

Competition will not only drive costs down but also make it more accessible to surgeons on a global basis, and thats ultimately not just a benefit to surgeons but also to patients, Ballecer said.

While heightened competition may help lower the cost of surgical machines, it wont reduce administrative complexity. For hospitals its tough to manage all the logistics of each of these systems, said Ryan Zimmerman, a former surgical director who now covers medical-technology stocks as an analyst for BTIG.

The ultimate winners, in his view, will be companies that can offer a complete universal system for everything from urology to orthopedics to the ears, nose and throat.

Another raging debate centers on whether robotic surgical machines can be compatible with the growing focus on value-based care in medicine, which says that health systems should deliver better quality care at a lower cost. Its a shift from the fee-for-service model that has dominated American medicine.

Whether the devices actually provide an improvement in patient outcomes is still a contentious topic in scientific literature, though doctors like Novants Craven are optimistic that future research will bear out the positive results theyre seeing anecdotally with their patients.

The second part of the equation is the cost side. Automation usually makes things cheaper, but thats not necessarily the case so far, at least in terms of direct costs, said Zachary Landry, the vice president of orthopedics and sports medicine at Novant Health. He cites the additional scans required for robotic procedures as one reason they could be costlier.

Looking at the broader array of medical costs shows a more complex picture. New research indicates that robotic surgery can lead to shorter hospital stays as a result of lower blood loss and less bodily trauma, factors that make the procedures more economically effective. One recent study found that patients also incurred lower out-of-pocket costs after robotic oncological procedures when compared with traditional laparoscopies.

After years of muted excitement over the robotic-surgery industry, the field looks due for a burst of enthusiasm as new players enter the space and technologists dream up ways to enhance the machines.

Emily Bary is a reporter at MarketWatch.

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These companies are investing billions so robots can perform surgery without a doctor in the room - MarketWatch

Robots that teach autistic kids social skills could help them develop – MIT Technology Review

About 1 in every 160 children globally has autism spectrum disorder. In the US, the rate is nearly triple, likely due to diagnostic and reporting differences. The developmental disability is often characterized by social, emotional, and communication challenges. It is not something that can be cured, but early interventions, like speech and behavioral therapy, can improve a childs development.

But such human-based interventions can often be expensive or time intensive; many children on the spectrum are recommended to have 20 hours of therapy a week. Traditional one-size-fits-all technology interventions can also be difficult to design; symptoms and behavioral patterns vary widely among affected individuals.

Fortunately, the advancement of socially-assistive robots in recent years has opened up a promising new way for autistic patients to get more affordable and personalized care. In theory, in-home robots could help supplement human therapists by taking over the more repetitive training activities, and AI could help individualize the experience.

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Now a new study, published in Science Robotics today, has taken an important step in advancing the AI that powers these in-home companions. Maja J. Matari and her team at the University of Southern California created a machine-learning model that uses audio and video data, such as dialogue and eye contact, from autistic childrens interactions with the robot to predict whether they are engaged in a given training activity. If theyre not, the idea is the robot could then react and reengage them to hold their attention on therapeutic exercises for longer stretches of time. During testing, the model reached a 90% accuracy in predicting the childs engagement, despite noisy data and high variability among participants.

Importantly, the study was done using data collected from robots that lived with the children in their homes for a month-long period. Its part of a multi-year research initiative that has sought to examine the impact and advance the capabilities of these companions in a realistic environment. In contrast, most other studies to date have been limited to short time scales and controlled lab settings because of the intensive approval and design processes required to bring such technology in-home.

Participants in the study were asked to regularly play space-themed math games on their in-home companions attached touchscreen tablet. The robot then gave expressive feedback based on performance and the game personalized to the individual over time through a reinforcement-learning algorithm.

While the content of the game focused on math, the main purpose was to teach the kids fundamental social skills through their interactions with the robot, such as turn-taking (is it my turn or the robots turn to talk?) and eye contact (should I look at the robot when Im talking?). With every intervention, a behavioral therapist evaluated the childs social skills before and after, validating the approach for improving them.

Kids need to learn in a social setting, says Matari. But for kids with autism, they dont get enough practice with that. Thats why the robot is important. Many of the children learned to engage with the robot as a friend over time, and improved their empathy towards other peers. Many also folded the robot into their family social circles, and became more engaged with their siblings and parents as well, validating the premise that the robots can improve rather than replace existing relationships. These findings were released in an earlier paper.

The in-home environment proved more challenging than the researchers originally anticipated. Participants sometimes accidentally damaged the robot or moved the camera, causing the collected data to be inconsistent and noisy. Oftentimes, the siblings of the autistic children also wanted to play the games themselves, adding more complexity to the analysis. But the realistic environment also gave the researchers a more holistic understanding of how to design the robots to be more effective. They found, for instance, that all the children decreased their engagement with the robot over time, which ultimately motivated the latest Science Robotics study.

This helps substantiate the positive use of socially interactive robots for children with special needs, says Ayanna Howard, a professor at Georgia Tech who also studies the therapeutic effects of robots for autistic children.

Mataris team is also looking at the minimum amount of data required to train the robots machine-learning algorithms, in order to protect privacy. The hope is that such socially-assistive robots will become affordable, personalized therapeutic companions for autistic children, allowing them to receive more comprehensive care and improve their development.

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Robots that teach autistic kids social skills could help them develop - MIT Technology Review

Commentary: People prefer robots to explain themselves – Finance and Commerce

By: The Associated Press, University of California, Los Angeles, Mark Edmonds and Yixin Zhu February 26, 202012:47 pm

Editors note:This article, distributed by The Associated Press, was originally published on The Conversation website. The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.

Artificial intelligence is entering our lives in many ways on our smartphones, in our homes, in our cars. These systems can help people make appointments, drive and even diagnose illnesses. But as AI systems continue to serve important and collaborative roles in peoples lives, a natural question is: Can I trust them? How do I know they will do what I expect?

Explainable AI (XAI) is a branch of AI research that examines how artificial agents can be made more transparent and trustworthy to their human users. Trustworthiness is essential if robots and people are to work together. XAI seeks to develop AI systems that human beings find trustworthy while also performing well to fulfill designed tasks.

At the Center for Vision, Cognition, Learning, and Autonomy at UCLA, we and our colleagues are interested in what factors make machines more trustworthy, and how well different learning algorithms enable trust. Our lab uses a type of knowledge representation a model of the world that an AI uses to interpret its surroundings and make decisions that can be more easily understood by humans. This naturally aids in explanation and transparency, thereby improving trust of human users.

In our latest research, we experimented with different ways a robot could explain its actions to a human observer. Interestingly, the forms of explanation that fostered the most human trust did not correspond to the learning algorithms that produced the best task performance. This suggests performance and explanation are not inherently dependent upon each other optimizing for one alone may not lead to the best outcome for the other. This divergence calls for robot designs that takes into account both good task performance and trustworthy explanations.

In undertaking this study, our group was interested in two things. How does a robot best learn to perform a particular task? Then, how do people respond to the robots explanation of its actions?

We taught a robot to learn from human demonstrations how to open a medicine bottle with a safety lock. A person wore a tactile glove that recorded the poses and forces of the human hand as it opened the bottle. That information helped the robot learn what the human did in two ways: symbolic and haptic. Symbolic refers to meaningful representations of your actions: for example, the word grasp. Haptic refers to the feelings associated with your bodys postures and motions: for example, the sensation of your fingers closing together.

First, the robot learned a symbolic model that encodes the sequence of steps needed to complete the task of opening the bottle. Second, the robot learned a haptic model that allows the robot to imagine itself in the role of the human demonstrator and predict what action a person would take when encountering particular poses and forces.

It turns out the robot was able to achieve its best performance when combining the symbolic and haptic components. The robot did better using knowledge of the steps for performing the task and real-time sensing from its gripper than using either alone.

Now that the robot knows what to do, how can it explain its behavior to a person? And how well does that explanation foster human trust?

To explain its actions, the robot can draw on its internal decision process as well as its behavior. The symbolic model provides step-by-step descriptions of the robots actions, and the haptic model provides a sense of what the robot gripper is feeling.

In our experiment, we added an additional explanation for humans: a text write-up that provided a summary after the robot has finished attempting to open the medicine bottle. We wanted to see if summary descriptions would be as effective as the step-by-step symbolic explanation to gain human trust.

We asked 150 human participants, divided into four groups, to observe the robot attempting to open the medicine bottle. The robot then gave each group a different explanation of the task: symbolic, step-by-step, haptic arm positions and motions, text summary, or symbolic and haptic together. A baseline group observed only a video of the robot attempting to open the bottle, without providing any additional explanations.

We found that providing both the symbolic and haptic explanations fostered the most trust, with the symbolic component contributing the most. Interestingly, the explanation in the form of a text summary didnt foster more trust than simply watching the robot perform the task, indicating that humans prefer robots to give step-by-step explanations of what theyre doing.

The most interesting outcome of this research is that what makes robots perform well is not the same as what makes people see them as trustworthy. The robot needed both the symbolic and haptic components to do the best job. But it was the symbolic explanation that made people trust the robot most.

This divergence highlights important goals for future AI and robotics research: to focus on pursuing both task performance and explainability. Only focusing on task performance may not lead to a robot that explains itself well. Our lab uses a hybrid model to provide both high performance and trustworthy explanations.

Performance and explanation do not naturally complement each other, so both goals need to be a priority from the start when building AI systems. This work represents an important step in systematically studying how human-machine relationships develop, but much more needs to be done. A challenging step for future research will be to move from I trust the robot to do X to I trust the robot.

For robots to earn a place in peoples daily lives, humans need to trust their robotic counterparts. Understanding how robots can provide explanations that foster human trust is an important step toward enabling humans and robots to work together.

Mark Edmonds is a Ph.D. candidate in computer science at the University of California, Los Angeles.

Yixin Zhu is a postdoctoral scholar in computer science at the University of California, Los Angeles.

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Commentary: People prefer robots to explain themselves - Finance and Commerce

Here’s why kids should learn robotics – Techweez

The world is drastically shifting to a more tech-driven era. Thus, it is a great idea to have kids get ready for the foreseen tomorrow. You see, the future needs people who can think creatively, are entirely innovative, and more productive in their careers. Thus, the need to teach robotics to children.

It should not come as a surprise when the government declares robotics as part of the school curriculum. The only sure way to open a wonderful world that is more exciting to kids is simply by teaching robotics. It is about time to embrace what technology has to offer to the kids. And if you are still not so sure about taking online robotics courses at TekkieUni school can be helpful to kids, here are the various perks linked to its learning.

Studying robotics develops teamwork and collaboration in kids

How would you feel if your kids become more collaborative and team players? Well, that would be an excellent achievement. You know, this cannot just come to pass without a bit of effort. Thus, you should consider enrolling your kids for a robotics class.

The input of every child is highly recommended and respected in the study of robotics. This is because there are various disciplines that work together to achieve in building a robot. Thus, they are taught how to work together, listen to the opinions of others, and also have their input appreciated by other learners.

Gives powerful insights into Programming

You see, programming typically van be a challenging fete when kids are learning. However, if your kids take robotics first, then you can easily get more insights into it. Robotics is simple to comprehend. Indeed, programming is complex. However, it evens out when your kids begin with robotics.

Robotics helps inculcate problem-solving skills to kids

Life is typically full of challenges. And without skills on how to solve them creatively, one may get stuck or experience a lot of drawbacks. See, robotics is a great way to teach kids how to solve problems. Right from the start, once they have made the machine using the kits, they will want to know the next step.

The tutor will then show them how things work. They will know that putting together simple robots is easy. When they come across any issues, they will feel free to try again and again, using the skills taught to find out the solution. One of the most effective forms of pf studying is problem-based. It is a great tool that can help many learners understand how to solve problems in this dynamic time.

Wrap up

You have explored the various perks li8nked to the study of robotics. You see, it is not a must that you get admitted to a physical school. There are many online courses that your kids can enroll in to learn robotics. Yes, if you want your kids to get more creative, then you need to have them learn robotics. They will learn how to collaborate, solve problems, and will get powerful insights into programming.

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Here's why kids should learn robotics - Techweez

Tesla offers Model Y customers a cheat code to get delivery quicker – Fox Business

Canaccord Genuity Managing Director Jed Dorshetmer and Miller Tabak Chief Market Strategist Matt Maley discuss their outlook for Tesla.

Tesla, billionaire Elon Musk'spurveyor ofelectric cars, is urging Model Y buyers to change their order preferences if they want to jump behind the wheel of the all-electric SUV more quickly.

Drivers who ordered the Model Y Performance or the Model Y Long Range AWD with a seven-seat interior can get the vehicle by March if they downsize to a standard five-seat interior, the digital outlet Electrek reported.

The change will also remove the $3,000 interior upgrade charge from their bills, the automaker wrote in an e-mail to buyers obtained by Electrek. Tesla has also confirmed March delivery for customers who chose the standard interior.

TESLA CYBERTRUCK PRE-ORDERS TOP 535K, UNOFFICIAL TALLY SAYS

The notificationssuggest current output of the five-seatconfiguration is outpacing demand, since the seven-seater isn't scheduled for production until next year, the outlet reported. Palo Alto, California-based Tesla has struggled with production issues in the past, though Musk says enhanced techniques now help it to deliver cars more efficiently.

TESLA'S CYBERTRUCK MADE INTO HOT WHEELS RC CARS

The carmaker unveiled the all-electric Model Y in March 2019, hoping to tap the most popular segment of the auto market.Before its debut, Musk compared the model's specifications to the company's lower-cost sedan, the Model 3.

The Model Y Performance starts at $55,000 while the long-range model starts at $47,000. Its competitors include the all-new EQC from Mercedes-Benz and theI-Pace from Jaguar, according to the research firm LMC Automotive.

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The Associated Press contributed to this report.

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Tesla offers Model Y customers a cheat code to get delivery quicker - Fox Business