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Category Archives: Robotics

Robospot: European Commission Launches the Meeting Point for the Online Robotics Community – Automation.com

Posted: September 14, 2022 at 12:56 am

Summary

Robospot: The Responsible Robotics Knowledge Hub is a platform created within the Robotics4EU project, free and open to anyone.

Sept.13, 2022 - Robotics technology influences every aspect of work and home. It has the potential to positively transform lives and work practices, raise efficiency and safety levels and provide enhanced levels of service. Therefore, the topics of robotics are transversal to all audiences and the solutions presented in this area concern the whole society - from researchers or industry workers to educators, from decision-makers to curious citizens.Building on this idea, a new and open European online community was born to promote the widespread and responsible adoption of robotics in our society. Robospot presents a hub focused on non-technical aspects of robotics, such as ethics in the areas of healthcare, inspection, and maintenance of infrastructure, agri-food, or agile production.On this platform, it is possible to find a community of projects, organizations, and individuals working towards making robotics more responsible. Users will be able to build their network, talk with experts, discover new robotics events and check open resources on the subject (as well as add their own). To join this online network, it is necessary to register on Robospot. This registration is free and open to anyone.Robospot comes within the framework of Robotics4EU (R4EU), a project funded by the European Commission under the Horizon 2020 research and innovation programme. R4EU aims to ensure more widespread adoption of AI robots, as well as to promote the societal acceptance of robotics solutions by advocating for responsible robotics among all stakeholders.Robotics4EU is a 3-year-long project, composed of 7 organizations from 6 EU countries representing expertise in robotics.

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Why Household Robot Servants are a lot Harder to Build than Robotic Vacuums and Automated Warehouse Workers – Nextgov

Posted: September 11, 2022 at 1:15 pm

With recent advances in artificial intelligence and robotics technology, there is growing interest in developing and marketing household robots capable of handling a variety of domestic chores.

Tesla is building a humanoid robot, which, according to CEO Elon Musk, could be used for cooking meals and helping elderly people. Amazon recently acquired iRobot, a prominent robotic vacuum manufacturer, and has been investing heavily in the technology through the Amazon Robotics program to expand robotics technology to the consumer market. In May 2022, Dyson, a company renowned for its power vacuum cleaners, announced that it plans to build the U.K.s largest robotics center devoted to developing household robots that carry out daily domestic tasks in residential spaces.

Despite the growing interest, would-be customers may have to wait awhile for those robots to come on the market. While devices such as smart thermostats and security systems are widely used in homes today, the commercial use of household robots is still in its infancy.

As a robotics researcher, I know firsthand how household robots are considerably more difficult to build than smart digital devices or industrial robots.

One major difference between digital and robotic devices is that household robots need to manipulate objects through physical contact to carry out their tasks. They have to carry the plates, move the chairs and pick up dirty laundry and place it in the washer. These operations require the robot to be able to handle fragile, soft and sometimes heavy objects with irregular shapes.

The state-of-the-art AI and machine learning algorithms perform well in simulated environments. But contact with objects in the real world often trips them up. This happens because physical contact is often difficult to model and even harder to control. While a human can easily perform these tasks, there exist significant technical hurdles for household robots to reach human-level ability to handle objects.

Robots have difficulty in two aspects of manipulating objects: control and sensing. Many pick-and-place robot manipulators like those on assembly lines are equipped with a simple gripper or specialized tools dedicated only to certain tasks like grasping and carrying a particular part. They often struggle to manipulate objects with irregular shapes or elastic materials, especially because they lack the efficient force, or haptic, feedback humans are naturally endowed with. Building a general-purpose robot hand with flexible fingers is still technically challenging and expensive.

It is also worth mentioning that traditional robot manipulators require a stable platform to operate accurately, but the accuracy drops considerably when using them with platforms that move around, particularly on a variety of surfaces. Coordinating locomotion and manipulation in a mobile robot is an open problem in the robotics community that needs to be addressed before broadly capable household robots can make it onto the market.

In an assembly line or a warehouse, the environment and sequence of tasks are strictly organized. This allows engineers to preprogram the robots movements or use simple methods like QR codes to locate objects or target locations. However, household items are often disorganized and placed randomly.

Home robots must deal with many uncertainties in their workspaces. The robot must first locate and identify the target item among many others. Quite often it also requires clearing or avoiding other obstacles in the workspace to be able to reach the item and perform given tasks. This requires the robot to have an excellent perception system, efficient navigation skills, and powerful and accurate manipulation capability.

For example, users of robot vacuums know they must remove all small furniture and other obstacles such as cables from the floor, because even the best robot vacuum cannot clear them by itself. Even more challenging, the robot has to operate in the presence of moving obstacles when people and pets walk within close range.

While they appear straightforward for humans, many household tasks are too complex for robots. Industrial robots are excellent for repetitive operations in which the robot motion can be preprogrammed. But household tasks are often unique to the situation and could be full of surprises that require the robot to constantly make decisions and change its route in order to perform the tasks.

Think about cooking or cleaning dishes. In the course of a few minutes of cooking, you might grasp a saut pan, a spatula, a stove knob, a refrigerator door handle, an egg and a bottle of cooking oil. To wash a pan, you typically hold and move it with one hand while scrubbing with the other, and ensure that all cooked-on food residue is removed and then all soap is rinsed off.

There has been significant development in recent years using machine learning to train robots to make intelligent decisions when picking and placing different objects, meaning grasping and moving objects from one spot to another. However, to be able to train robots to master all different types of kitchen tools and household appliances would be another level of difficulty even for the best learning algorithms.

Not to mention that peoples homes often have stairs, narrow passageways and high shelves. Those hard-to-reach spaces limit the use of todays mobile robots, which tend to use wheels or four legs. Humanoid robots, which would more closely match the environments humans build and organize for themselves, have yet to be reliably used outside of lab settings.

A solution to task complexity is to build special-purpose robots, such as robot vacuum cleaners or kitchen robots. Many different types of such devices are likely to be developed in the near future. However, I believe that general-purpose home robots are still a long way off.

Ayonga Hereid, Assistant Professor of Mechanical and Aerospace Engineering, The Ohio State University

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

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Why Household Robot Servants are a lot Harder to Build than Robotic Vacuums and Automated Warehouse Workers - Nextgov

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Please dont tip the robot – TechCrunch

Posted: at 1:15 pm

Greetings from Cupertino, California, where the temperature has cooled down to a far more reasonable 101 degrees. Its a nice change from the 109 degrees we hit here on Tuesday. Im out here this week for the big Apple event. There was no robotics news to speak of, but thats why were coming to you a day late with Actuator. Ill try not to make a habit of it.

Weve got an interesting selection of robotics news this week. Its a testament, really, to how broad this field has become in recent decades. But first, lets start with a couple of familiar companies. I wanted to call out this bit from Kirstens recent piece about Uber deploying Nuros autonomous sidewalk for Eats food deliveries:

Uber Eats customers will be charged the same for delivery, regardless of if its a Nuro bot or a human gig worker. However, there may be some cost savings as Nuro bots cant accept tips. Customers wont know at the time of their order whether theyre getting their own delivery or whether its a typical courier delivery. If the Eats customer pre-selects the tip option and Nuro makes the delivery, that tip will be refunded.

Im highlighting this for two reasons:

Image Credits: Nuro

Its a good opportunity to put yourself in the position of an Uber Eats customer (a position many of us have no doubt been in more than a few times over the course of the last 2.5 years). Picture this scenario: You put in an order for one of those massive mission-style burritos from your favorite neighborhood taqueria. As you wait for that massively dense cylinder of guacamole and beans, consider this: Who would you rather see at the door? A robot or a human being?

No judgment. There are a lot of things to consider. First and foremost is the novelty factor. This is something I discuss a lot with people who make food robots like Flippy. Theres a tangible bit of excitement there, seeing your pizza or hamburger being made by a robot for the first time. Of course, such things wear off fairly quickly and suddenly the products worth comes down to its efficacy. I suspect for a lot of people, theres going to be a genuine bit of excitement the first time one of these little robots pulls up to their door.

Beyond that, do you have a specific preference? Do you want the human touch? Do you want a robot that isnt a potential disease vector (something that, again, has no doubt been top of mind for many, these last few years)? Do you get a pang of guilt that a gig worker delivers your burrito on a bike in the rain when youre sitting home cozy and dry? What about the pang of guilt you feel knowing that a robot has replaced a source of income for a human?

Likely you dont feel especially guilty not tipping the robot the way you would a human (feeling guilt for not tipping people should be on the Turing Test, frankly). And certainly theres something to be said for saving $5 or $10 bucks on a tip for a $20 order. None of this happens overnight, of course. Even after years of research, development and piloting, there are still plenty of regulatory and other hurdles to navigate so youve got time to figure out all of the above.

The big funding news of the week is a medium-sized round raised by Realtime Robotics. The $14.4 million round comes 15 months after the Boston-based robotic deployment firm announced a $31 million Series A. Realtime is one of a handful of firms working to solve the issues around industrial robots. Specifically, how can nonroboticists deploy these machines and help avoid some potentially nasty accidents down the road?

We have seen a tremendous industry response to the launch of RapidPlan and its ability to make collision-free operations a reality for industrial robotics, speeding programming time and increasing throughput, CEO Peter Howard says in a release. Weve recently pivoted away from hardware to pure software, making it even easier for all customers and partners to integrate our revolutionary technology within their existing stack and workflows. This latest round of funding will assist us in scaling to meet demand.

Image Credits: Brian Heater

From the We All Saw This Coming Department comes word that the FTC is investigating Amazons planned acquisition of iRobot. The news both excited home robotics enthusiasts and sent up some serious red flags among privacy advocates.

If youve been following Amazon for any amount of time, you know the myriad concerns over things like law enforcement use of its Rekognition people-detecting software, as well as Ring security cams. An iRobot acquisition brings such issues to a new level. Specifically, high-end Roomba have sensors designed to map the inside of your home.

Politico notes in the report that the companies are bracing for a potentially lengthy, arduous investigation, according to two people with knowledge of the probe. The news comes as the Wall Street Journal reports that the agency is also looking into Amazons planned acquisition of One Medical.

Image Credits: Ghost Robotics

Speaking of governments and robots, the UK Ministry of Defences Defence Equipment and Support entity announced that it is testing potential use cases for the Ghost Robotics dog within the British Army. The DE&S Future Capability Group (FCG) is also piloting Boston Dynamics Spot robot, though Ghosts systems have raised many more eyebrows of late, due to the firms fairly agnostic approach to using the system in conflicts, including the third-party development of an autonomous rifle.

For now, at least, interest largely revolves around sending the robot into dangerous spots to potentially save human lives. Says Dave Swan of the incongruously delightfully named FCG Expeditionary Robotics Centre of Expertise:

In the modern battlespace, robotics are becoming increasingly important in allowing soldiers to operate faster, for longer. The Ghost V60 quadruped offers increased situational awareness for soldiers on the ground. It has the potential to act as the eyes and ears for military personnel on the frontlines increasing accuracy in identifying and acquiring targets.

This offers many potential use cases for the British Army, from delivering mission-critical supplies, scoping out hazardous areas, or performing combat tasks that are deemed too dangerous for humans. Ultimately, the Ghost V60 quadruped is designed to reduce the risk-to-life and the burden on military personnel.

Image Credits: Getty Images

Heres an eye-opening story about choosing the right herd for robotic milking systems. Marvel at such incredible sentences as, Good udder conformation. This makes it easy for the robot to attach the milking unit and clean the teats. Its, perhaps, an inversion of how we might traditionally think of this system, as the robots conforming to the cows, rather than the other way around.

Image Credits: Softbank Robotics

Finally, from the University of Cambridge comes a study aimed at determining how useful Socially Assistive Robots (SARs) can be as part of a therapeutic process for kids. The study, which utilized Softbanks Nao robot, examined children aged 8 to 13 and noted:

Our results show that the robotised evaluation seems to be the most suitable mode in identifying wellbeing related anomalies in children across the three clusters of participants as compared with the self-report and the parent-report modes. Further, children with decreasing levels of wellbeing (lower, medium and higher tertiles) exhibit different response patterns: children of higher tertile are more negative in their responses to the robot while the ones of lower tertile are more positive in their responses to the robot. Findings from this work show that SARs can be a promising tool to potentially evaluate mental wellbeing related concerns in children.

Image Credits: Bryce Durbin/TechCrunch

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Realtime Robotics Announces Additional Funding of $14.4 Million – Business Wire

Posted: at 1:15 pm

BOSTON--(BUSINESS WIRE)--Realtime Robotics, the leader in collision-free autonomous motion planning for industrial robots, today announced that it has secured $14.4 million in additional funding, with Soundproof Ventures, Heroic Ventures and SIP Global Partners as lead investors.

The funding comes on the heels of the official launch of the companys new RapidPlan software, which helps manufacturers design and deploy industrial automation faster and more efficiently. With RapidPlan, customers can automate the programming, deployment and control of their industrial robots within applications such as automotive or logistics, autonomously creating and choreographing all robot movements without the need for brand-specific robot programming.

Within RapidPlans software environment, users create a digital twin simulation of their workcell and then simply point and click on robots and target points to visualize collision-free task plans, saving weeks to months of programming time per project. The same software used for the simulation environment controls real-world robots.

We have seen a tremendous industry response to the launch of RapidPlan and its ability to make collision-free operations a reality for industrial robotics, speeding programming time and increasing throughput, said Peter Howard, CEO of Realtime Robotics. Weve recently pivoted away from hardware to pure software, making it even easier for all customers and partners to integrate our revolutionary technology within their existing stack and workflows. This latest round of funding will assist us in scaling to meet demand.

Recent research indicates that more than 80% of warehouses today lack any type of automation. By combining that statistic with research by the Material Handling Institute stating that robotics adoption in warehouses will increase by more than 50% over the next five years - and news that robot sales had their strongest year ever last year - it becomes clear that there is a massive market opportunity available. Technology that can help streamline and optimize the use of industrial robotics in both logistics and manufacturing will be critical to companies looking to quickly drive ROI from their new robotics investments.

As supply chains are increasingly taxed, industry craves efficiency, added Michael Silverstein, Managing Partner of Soundproof Ventures. By automating the most challenging and costly aspects of operating industrial robots, Realtime Robotics enables customers to unlock the promise of automation and drive output well beyond what has ever been conceived.

Realtime Robotics motion control software enables major cost savings, flexibility and process efficiency gains at the worlds largest and most sophisticated robotics installations, stated Jeffrey Smith, General Partner, SIP Global Partners. Seamless programming, automated rollout and conflict resolution will drive large scale adoption and ROI. We look forward to working closely with Realtime as they deploy their uniquely innovative solutions globally.

Realtime Robotics will apply the new funds to help the company continue to scale and meet the growing industry demand for RapidPlan. It will also be used to invest in overall engineering development and to enable additional enhancements to its core software.

Watching Realtime Robotics software guide robot motions was a thing of beauty. The robots were interacting with each other, and were not crashing, said Greg Tormanen, Automotive Body and White Engineering Manager at Kawasaki Robotics. It has taken operators years of practice to become skilled enough to make robot motion and planning both efficient and effective. Realtimes technology decreases the amount of time it takes to perform the task, enabling those with less experience to realize the same results. This level of interaction is simply impossible with human programming.

The ability of Realtime Robotics RapidPlan software to help organizations optimize their robot programming and deployment, improving their efficiency and effectiveness, was recently on display at the Automate 2022 conference. Interactive demos of RapidPlan in use with partners Kawasaki Robotics Inc. and Mitsubishi Electric Automation were shown at the event, and the technology will be on display again at the International Manufacturing Technology Show (IMTS) 2022, taking place next week, from September 12-17, 2022, in Chicago, IL. You can read more about RapidPlan by visiting: https://rtr.ai/meet-rapidplan/.

About Realtime Robotics

Realtime Robotics technology generates collision-free motion plans in milliseconds for industrial robots and autonomous vehicles. Its solution empowers robots to function together in unstructured and collaborative workspaces, as well as to react to dynamic obstacles the instant changes are perceived. Its solutions expand the potential of automation. Learn more about Realtime Robotics here, watch our technology in action here and connect on Twitter and LinkedIn.

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Realtime Robotics Announces Additional Funding of $14.4 Million - Business Wire

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Robots Go to Work in Japanese C-Stores – NACS Online

Posted: at 1:15 pm

TOKYOIn Japan, robots are restocking the shelves of some of the countrys conbini, which are small stores that sell snacks, drinks and miscellaneous items, reports the Associated Press. The robot is called TX SCARA, and the units are in 300 out of the 16,000 FamilyMart stores in Japan. There are about 56,000 conbini in Japan.

The TX SCARA has a hand on one end of its mechanical arm, and it grabs beverages from stacks on the sides of the shelves and then restocks the shelves correctly, using AI and cameras to figure out what beverages on the shelf need to be replaced. The robot can restock up to 1,000 beverages a day.

We want to automate all the repetitive jobs and boring jobs done by humans. That is the direction we are going. And the best way to do that is to use the robots, said Jin Tomioka, CEO of Tokyo-based Telexistence, which created TX SCARA told AP.

Many of the Japanese conbini are open 24-7 and have thousands of products but few workers. The robots by Telexistence are meant for established retailers, and theres no need to change current store layouts. The robots are reportedly more affordable than industrial robots and are designed to coexist and collaborate with people, completing routine tasks.

The robots allow for remote control, and Telexistence employees can remotely see problems with the robots as they happen, such as a dropped beverage in the case of the TX SCARA robot.

Japans population is aging, leaving the country with a labor shortage that is expected to worsen. FamilyMart CEO Tomohiro Kano referred to the Japanese expression seeking even a cats paw for help to describe how the labor situation might escalate.

At FamilyMart, we are seeking a robots arm for help, he told the AP.

In the U.S., robot labor is growing amid the countrys own labor shortage. Robot orders for workplaces increased 40% during the first quarter of 2022 compared with the first quarter of 2021, which is a record amount. The U.S. has been slower to embrace robotics than other industrialized countries. The number of robots deployed in the U.S. per 10,000 workers has traditionally trailed countries such as South Korea, Japan and Germany. But Americas attitude is shifting.

With many industry observers stating the pandemic has triggered a fundamental reset of retail, new technologies including robotics, machine learning and AI also are being more rapidly deployed to enable operators to respond to the new norm. Read more in the NACS Magazine feature, Robots Deliver.

Mark your calendars for February 28 to March 2, 2023, when NACS Convenience Summit Asia heads to Bangkok, Thailand, where youll be transported into the epicenter of retail disruption and innovationAsiafor an immersive look into the future of convenience retailing. Sign up to be notified when registration opens.

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Robots Go to Work in Japanese C-Stores - NACS Online

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Magna to manufacture thousands of Cartkens fully autonomous delivery robots in the US – Electrek.co

Posted: at 1:15 pm

Global contract manufacturer Magna International has agreed to produce and scale a fleet of autonomous delivery robots for silicon valley-based robotics company Cartken. The robots are being built at a Magna facility in Michigan and will soon offer autonomous last-mile deliveries to businesses around the world.

Magna International ($MGA) sits as one of the top contract manufacturers in the world, particularly in the world of automotive mobility. The company has produced over 3.7 million vehicles across thirty different models for 10 different OEM customers, including the likes of Ford, Rivian, and GM. This fall, Magna will begin production of Fisker Inc.s flagship EV, the Ocean.

As the entire automotive industry quickly pivots toward all-electric models, Magna has followed suit, developing everything from electrified power trains to battery enclosures and ADAS systems. That being said, there are plenty of advanced technologies Magna develops and implements on its own that not only apply to the automotive world but advanced mobility as a whole.

Magna International describes itself as a 65-year-old start-up and didnt become the largest contract manufacturer in North America by simply building cars for OEMs. Magna looks to help further new mobility by helping solve todays challenges sustainably.

This is a huge reason why an agreement to build autonomous delivery robots for Cartken makes a lot of sense.

Magna International announced its latest manufacturing collaboration in a press release today, sharing insight into the decision to help scale Cartkens autonomous delivery robot technology to help support a growing segment of sustainable last-mile delivery vehicles. Magnas executive vice president and global lead for new mobility, Matteo Del Sorbo, elaborated:

We continue to identify opportunities in the new mobility ecosystem where we use our capabilities to unlock new growth areas and new business models. This collaboration withCartken is great example of that approach. Our ability to design, engineer and manufacture complete vehicles makes Magna an ideal partner for companies looking to solve last mile delivery challenges with sustainable, autonomous and cost-effective solutions.

Cartkens Model C is a fully autonomous delivery robot, equipped with a remote monitoring and teleoperation system that allows for instant human override if needed. These robots can smoothly traverse indoor and outdoor situations and are equipped with multiple cameras, advanced machine learning, and simultaneous localization and mapping (SLAM)-based navigation algorithms.

Under the current terms of the agreement, Cartken expects thousands of autonomous delivery robots to be manufactured once Magnas production capacity ramps up in the coming months.

Cartkens current fleet of Model C autonomous delivery robots is already in commercial operation, serving various use cases in malls, hotels, universities, retail, and warehouses around the globe.With Magnas help, Cartken looks to expand its autonomous footprint much further. Company cofounder and CEO, Christian Bersch, shared his thoughts:

We seek strategic partners that can accelerate the trajectory of Cartkens growth. This partnership is a significant step toward scaling our business and getting more Model Cs into the world. Were honored that Magna, as a global leader with deep systems knowledge and manufacturing excellence, recognized the potential of our robots and the quality of our technology. Were inspired by Magnas push into new spaces and are excited to move forward together in our effort to scale distribution.

Looking ahead, both parties are discussing additional autonomous delivery robot models joining the assembly line, based on the same platform as the Model C. Future models could serve additional business models like robot-as-a-service. For now, Model C production is underway at Magnas manufacturing facility in Michigan and will continue to expand through 2022.

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Magna to manufacture thousands of Cartkens fully autonomous delivery robots in the US - Electrek.co

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Demand For Gamma Ray-Based Robots In China Is Anticipated To Rise At An Impressive CAGR Of 9.4%, Owing To Advancements In Robotic Technologies And The…

Posted: at 1:15 pm

United States, Rockville MD, Sept. 08, 2022 (GLOBE NEWSWIRE) -- At present, the global gamma ray-based robots market enjoys a valuation of US$ 2.5 billion and is anticipated to witness expansion at a CAGR of 6.9% over the next five years.

Rapid advancements in robotic technologies and the rising popularity of automation across various industry verticals are anticipated to favor the demand for gamma ray-based robots over the coming years. Rising focus on the sterilization of equipment and products in industries such as healthcare and food is also expected to drive gamma ray-based robots market growth potential across the forecast period. Growing popularity of radiotherapy and increasing use of robots for the same is also anticipated to uplift the target industry.

Increasing investments in the development of advanced robotics technologies and rapid adoption of these advanced technologies are anticipated to drive gamma ray-based robot sales over the coming years. The market for gamma ray-based robots is projected to expand at a6.9%CAGR from 2022 to 2027.

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Healthcare industry expected to provide highly rewarding opportunities for gamma ray-based robot manufacturing companies over the next five years, says a Fact.MR analyst

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Key market players are anticipated to focus on the development of gamma ray-based robots that are integrated with advanced technologies such as AI, deep learning, machine vision, etc. Partnerships, collaborations, and mergers are expected to be the preferred strategies of prominent gamma ray-based robot manufacturers over the coming years as they focus on the expansion of their business scope.

A detailed and comprehensive account of companies producing gamma ray-based robots has been listed in this new report by Fact.MR, a market research and competitive intelligence provider.

Category-wise Insights

The global gamma ray-based robots market, based on end-user industry, is segmented into healthcare, food & beverages, nuclear, astronomy, electronics, and other end-user industries.

The healthcare industry is projected to be the most attractive industry for manufacturers and investors owing to rapidadvancements in medical robotics technologyand high healthcare expenditure. Growing awareness of HAIs is also anticipated to drive demand for gamma ray-based sterilization robots.

Competitive Landscape

Gamma ray-based robot manufacturers are expected to increase their investments in the R&D sector to create innovative solutions and fast-track product launches. Gamma ray-based robot companies are expected to adopt various other strategies to expand their business potential and sales revenue.

Some of the key market players profiled in this report are Huiheng Medical Inc., Varian Medical Systems Inc., Accuray Incorporated, ViewRay Inc., Best Theratronics Ltd., and BrainLAB AG.

Key Segments in Gamma Ray-based Robots Industry Research

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The study divulges essential insights on the market on the basis of technology (artificial intelligence, machine vision, collaborative robots, twin robotics, other technologies) and end-user industry (healthcare, food & beverages, nuclear, astronomy, electronics, other end-user industries), and across five major regions North America, Latin America, Europe, Asia Pacific, and the Middle East & Africa).

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Demand For Gamma Ray-Based Robots In China Is Anticipated To Rise At An Impressive CAGR Of 9.4%, Owing To Advancements In Robotic Technologies And The...

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How Robots & AI Will Reduce the Cost of Elderly Care – Electropages

Posted: at 1:15 pm

Care homes for the elderly are notoriously expensive, challenging to manage, and damaging to families, but the rising capabilities of AI and robotics could soon help provide independence to those with mild dementia. What challenges does dementia introduce, how could AI and robotics help with elderly care, and could AI help democratise healthcare in general?

People who live beyond the age of 80 and still have full cognitive abilities are extremely lucky, even if they require assistance in their daily lives, as they can still remember events of the past, form new memories, and recognise their loved ones. But for those who get dementia, it can be an extraordinarily challenging time. One of the more upsetting facts about dementia is that it can see those who suffer fail to recognise their own children (when my grandmother suffered from dementia in her later life, she once looked at my mother and said, I have a daughter just like you).

However,the physical attributes of dementia can make it extremely difficult to treatas patients with dementia are physically capable. This means that dementia patients who become stressed can become violent, and this puts both the patient and those nearby at risk of harm. The confusion brought by dementia also sees paranoia, making it difficult to administer treatment.

These challenges from dementia are typically in the later stages, but even early onset dementia presents dangers. Those with early onset dementia will often be very forgetful, resulting in missed medications and dangerous equipment being left on (such as ovens and gas burners). While these can be easily solved with the use of a carer, the extremely high cost of such care puts families in extremely difficult positions.

As such, families that have a relative with dementia will either have to resort to taking care of them (and thus putting strain on daily life) or have them move into a care home whereby the government takes every penny that they own.

While those with severe dementia will require full-time care, the rise of robotics and AI presents numerous opportunities to provide independence for those with early onset dementia.

To start, the use of AI-powered digital assistants can help provide reminders so that medication is taken correctly, that dangerous equipment is turned off, and to ensure that doctors appointments and other essential tasks are met.If combined with smart home technologies, a smart assistant can even monitor the houses current status and provide frequent information updates such as potential fire risks, open doors, and running taps.

The use of a smart assistant also eliminates the need for carers to make visits, thereby significantly reducing the cost of care. If smart assistants are too difficult to integrate, then a viable alternative is to install cameras, speakers, and microphones throughout the house that allows for real-time monitoring from a local care centre.

Integrating such technology also allows those with early onset dementiato have faster access to emergency services should something happen. Instead of remembering phone numbers (such as the IT Crowd emergency number 0118999881999119725...3), a smart assistant would easily respond to help commands and contact various numbers to ensure that help can be given.

The addition of robotic systemscan then provide an additional layer of independence. For example, robotic pets (such as dogs and cats) have been demonstrated to lower stress levels, but their robotic nature removes the need for those with dementia to take on additional responsibilities (such as vaccinations, feeding, and cleaning). Such robots also present the possibility of extending the reach of digital assistants to the owners side at all times.

While the medical industry insists that healthcare is expensive, some back-of-the-envelope calculation raises serious doubts about care homes cost. Furthermore, the resistance facing diagnostic AI from doctors raises questions as to whether the medical field really does want the best for patients.

If AI diagnostic systems could be developed, it would present humanity with a new era of medical care that has never been seen before. Instead of relying on overpaid GPs that do not provide nearly enough slots, individuals could access a medical AI any time of the day without waiting. Medical history can be passed to the medical AI while the patient is quizzed on their issues, and the diagnostic ability of the AI can help direct patients to specialists.

This initial diagnosis would help encourage people to see doctors on a daily basis, thereby catching potential issues before they become too difficult to solve. For example, some cancers detected early can be cheaper and easier to treat through surgery, but those that progress to later stages require the use of far more expensive treatments such as chemotherapy.

By using AI in elderly care, it is possible to extend the level of independence that sufferers have, and not only does this allow them to stay in environments they are comfortable with, but it also eases the pressure on families.

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From farm to fork, thanks to … AI and robots? – Marketplace

Posted: at 1:15 pm

Much of the western United States dealt with scorching temperatures over the past week, with some parts of California reaching more than 110 degrees Fahrenheit. That state is suffering a multiyear drought, and some residents are allowed to water their gardens and lawns only one day per week.

Texas, Nevada and New Mexico are also experiencing severe droughts, according to the U.S. Department of Agriculture. So, farmers have to be especially careful about how they use precious resources like water.

Marketplaces Kimberly Adams spoke with Jill McCluskey, a professor of sustainability at Washington State Universitys School of Economic Sciences, about how smart tech in agriculture can help. The following is an edited transcript of their conversation.

Jill McCluskey: It seems like farmers and producers are almost turning into artificial intelligence engineers. They are using smart crop monitoring and drones, satellites and GPS to become more efficient and reduce costs.

Kimberly Adams: What are some of the issues, or industry concerns, that are really pushing innovation in agriculture technology right now?

McCluskey: I would say the two biggest concerns for agriculture are the availability of labor and the availability of water. Artificial intelligence, robotics and machine learning can help with both of those issues. And so as we have more robotic harvesting, for example, and autonomous farm machinery, we can use less labor. And this also is probably good for the workers, that it reduces the need for them to engage in some of the menial and dangerous work.

Adams: What does a farm robot look like?

McCluskey: It depends on the crop. So for lettuce, for example, it might have wheels on both sides that go over the row of lettuce and can harvest. But for apples, it might have a raising platform that can help harvest the apples. Its just different for each crop, they would be different.

Adams: How much of farm work can be automated at this point?

McCluskey: A lot of it can be automated. If you think about [it], we have self-operated machinery thats connected to sensor data and GPS data. And so you can imagine a combine without a driver harvesting. The more challenging part in terms of harvesting is for the delicate crops that are very labor-intensive. So an example is the raspberry. So if you think about it, a raspberry is very delicate. Its really hard for a robot to pick it without damaging the fruit.

Adams: Is there any technology in development to solve that problem?

McCluskey: Theyre currently working on it. I know for some products, theyre using vacuums to pick the fruit instead of pinching it like a finger would do. They actually vacuum the fruit off the bush.

Adams: There is, of course, this bad drought happening out West this year. And water issues are just an ongoing problem for many parts of this country. How is technology working to address the water shortages many farmers are experiencing?

McCluskey: Sensors that are smart connected and satellites and drones can provide in-ground data of the moisture level. And so the water can be more efficiently applied. In the past, in the West weve often had just irrigation of fields. And so water is not used in an efficient way. And agriculture does use a large proportion of water. And as water gets more scarce, we need to use it optimally.

Adams: How affordable are some of these new technologies for farmers?

McCluskey: Affordability is still an issue. But as we continue to develop cheaper versions of it, I think itll be adopted in a more widespread way. And often, berry farmers and those types of farmers tend to be smaller than, say, a huge wheat farm or a huge soybean farm in the Midwest. So those farmers with huge fields have been able to invest in really expensive farm machinery, but the smaller operators cant. So that is an issue; it needs to get cheaper over time.

Adams: Already, large agricultural companies have a big advantage over the smaller farms. How will the fact that they can invest in these technologies and the smaller farms cant affect that dynamic moving forward?

McCluskey: It definitely puts the large farms at an advantage. And the small farms they probably would be more likely to produce organic crops and other crops that have more value added. And they could specialize in those types of crops in order to survive. But I think it is an issue that as labor gets more expensive, and the robotic technology is also expensive, itll be harder for the small farms to compete.

Adams: Labor shortages in the agricultural sector have been an issue for some time now. And I wonder how that is affecting the urgency of this push to automation.

McCluskey: I think it definitely has affected the urgency. So as labor gets more expensive, we come closer to robotics that are essentially a backstop technology, so then its more expensive. But as the price of labor hits that backstop technology, it might actually be cheaper to invest in robotics for harvest. And at the same time, I think that it becomes a priority for research and development as labor becomes more expensive.

Adams: So with all this new technology, what happens to the workers who remain?

McCluskey: I think in the future, there will be less need for agricultural workers the traditional work that they did of harvesting crops, picking crops. So we would hope that some of those people would be trained to run some of the machinery. They would be trained to do work that is more satisfying and socially sustainable.

Adams: How important is sustainability in the development of all this technology in agriculture?

McCluskey: I think sustainability really drives the use of technology in agriculture. So the use of technology will help producers be more sustainable in their use of water, which is such a difficult problem that were facing as a society, and also be sustainable in terms of workers so that they will need fewer workers to do the really hard and dangerous tasks.

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Milrem Robotics delivers the THeMIS UGV to Ukraine – EDR Magazine

Posted: at 1:15 pm

06.09.2022 The European leading robotics and autonomous system developer Milrem Robotics delivered the THeMIS unmanned ground vehicle (UGV) suited for casualty evacuation (CASEVAC) and transportation of supplies to Ukraine.

The THeMISequipped with stretchers for rapid CASEVAC was delivered to a Ukrainiancharitable organization. Onsite training was provided upon delivery for thequick deployment of the system.

Casualtyevacuation is one of the most crucial and labour-intensive activities inconflicts. Traditionally, it takes several people to carry a stretcher andrequired medical equipment. However, it would require only one to operate aUGV, which can accommodate several wounded and a lot of equipment. This meansthat more personnel are available to help more people, explained Captain (res)Jri Pajuste, Defence R&D Director at Milrem Robotics.

The THeMISUGV is a multi-mission vehicle with an open architecture that enables it to berapidly configured from having a transport function to being weaponized,performing ordnance disposal, or supporting intelligence operations accordingto the nature of the mission.

THeMIS UGVshave been acquired by 16 countries, 8 of which are members of NATO, includingEstonia, Germany, France, the Netherlands, Norway, Spain, the UK, and the US.

Photocourtesy Milrem Robotics

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