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Can We Make Our Robots Less Biased Than We Are? – The New York Times

Adhering to the declaration would prohibit researchers from working on robots that conduct search-and-rescue operations, or in the new field of social robotics. One of Dr. Bethels research projects is developing technology that would use small, humanlike robots to interview children who have been abused, sexually assaulted, trafficked or otherwise traumatized. In one of her recent studies, 250 children and adolescents who were interviewed about bullying were often willing to confide information in a robot that they would not disclose to an adult.

Having an investigator drive a robot in another room thus could yield less painful, more informative interviews of child survivors, said Dr. Bethel, who is a trained forensic interviewer.

You have to understand the problem space before you can talk about robotics and police work, she said. Theyre making a lot of generalizations without a lot of information.

Dr. Crawford is among the signers of both No Justice, No Robots and the Black in Computing open letter. And you know, anytime something like this happens, or awareness is made, especially in the community that I function in, I try to make sure that I support it, he said.

Dr. Jenkins declined to sign the No Justice statement. I thought it was worth consideration, he said. But in the end, I thought the bigger issue is, really, representation in the room in the research lab, in the classroom, and the development team, the executive board. Ethics discussions should be rooted in that first fundamental civil-rights question, he said.

Dr. Howard has not signed either statement. She reiterated her point that biased algorithms are the result, in part, of the skewed demographic white, male, able-bodied that designs and tests the software.

If external people who have ethical values arent working with these law enforcement entities, then who is? she said. When you say no, others are going to say yes. Its not good if theres no one in the room to say, Um, I dont believe the robot should kill.

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Can We Make Our Robots Less Biased Than We Are? - The New York Times

Fusion Robotics Awarded Best Spine Technology by Orthopedics This Week – PRNewswire

"We thank Orthopedics This Week for recognizing Fusion Robotics and our vision to remove economic and efficiency barriers from the robotics equation in spine surgery. Congratulations to Kevin Frank, Dave Vaughan, Pedro Costa, Michael Vogele, MD, Kirstin Boes and Kevin Foley, MD for inventing and guiding this system to fruition. Congratulations also to our partners Interventional Systems and Intellijoint Surgical, for their creation of the robot and camera components, respectively," said Brad Clayton, Fusion Robotics CEO.

Fusion Robotics is focused on addressing the issues limiting the adoption of spinal robotics. These include navigation line-of-sight interference, inefficient surgical operation, and time-consuming system setup and breakdown. These problems, combined with prohibitive up-front and on-going cost structures, limit the use of robotics for the vast majority of spine procedures.

Kevin Foley, MD, Chief Medical Officer of Fusion Robotics, commented on these constraints. "Spine surgeons are looking for ways to increase their surgical efficiency, reduce radiation exposure, standardize their practices, and extend their careers. Surgical robotics have the potential to help them achieve each of these objectives, and more. However, inefficiency, impracticality and cost continue to be substantial barriers to adoption. We believe that our system substantially lowers these barriers and will allow many more physicians to explore how robotics can be deployed to enhance their practices."

Fusion Robotics has assembled unique system components around an exceptionally easy-to-use and streamlined workflow which eliminates line-of-sight constraints and anticipates the surgeon's next step. The company believes numerous pivotal robotics innovations, combined with approximately 80% reduced cost, will enable the use of robotics in the majority of lumbar fusion procedures. Fusion Robotics has submitted a premarket notification 510(k) to FDA, which is pending, for its 3D imaging integrated robotics platform, and is also developing fluoroscopy-guided robotics capabilities for use in Ambulatory Surgery Centers. The company plans to commercialize both capabilities in 2021 with leadership assistance from its Chairman and major investor, Alex Lukianov (NuVasive founder and past CEO).

About Fusion Robotics, LLCFusion Robotics, LLC is a medical device manufacturer, headquartered in Boulder CO, which is focused on the research, development and commercialization of robotics technologies for spinal surgical applications.

About Interventional Systems / iSYS Medizintechnik GmbHInterventional Systems, founded in 2010 and located in Austria, is focused on development, engineering and clinical integration of value-based robotic solution for various clinical applications.

About Intellijoint Surgical Inc.Intellijoint Surgical (Ontario, Canada) develops and commercializes surgical navigation solutions for total joint replacements. It is committed to improving patients' lives by providing every surgeon with effective, easy-to-use technology. For more information on Intellijoint Surgical visit http://www.intellijointsurgical.com.

Contact Information[emailprotected]

SOURCE Fusion Robotics

http://www.fusionroboticsusa.com

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Fusion Robotics Awarded Best Spine Technology by Orthopedics This Week - PRNewswire

Robotics elective offered at South for the first time – Times-Mail

The idea to offer the course, which is open to ninth through 12th graders, came from teacher David Ericson, who also leads the Quadrangles robotics team at South. In the class, students build and program robots and learn about the history of robotics, automation, motors and other topics. Ericson has been navigating how to adapt the class for online students.

The idea is to be able to expand on real world situations and then incorporate that into the classroom, and thats what were doing, Ericson said. Robots can be a really good thing. For example, robotic firemen why have a human go into a fire when we can program a robot to do that same function?

London Mitchell, a freshman, said prior to the class she had no experience with robotics, but had an interest in STEM.

I saw robotics as an elective and that just seemed like a really neat thing, Mitchell said. Im really glad that I ended up deciding to take it because its been really cool and interesting and Ive learned a lot already.

Ericson said hes aware that some students have no experience with robotics, so students read about the history of robotics before moving on to learning about automation and pneumatics and hydraulic systems. With their reading assignments, students do online discussion posts.

Other topics of the class include circuits, motors, how pumps and compressors work together to make pneumatic hydraulics work, the structure of a robot and motion subsystems, so how a robot moves forward or backwards and how it turns or lifts things. The class discusses if controls are autonomous or teleoperation. In other words, are things being done via remote control or automatically through programming.

Right now were in the coding stage of robots and thats been really fascinating, Mitchell said. Ive never really done that before. Its really interesting just to think through how that works. Then also, the readings that were doing are kind of learning about the history of robotics. Thats also really interesting to me like how it has come so far from where we started.

Ericson said even though the idea of a robot has been around for a long time, its a relatively new field. Ericson said he has the ability to provide one robot kit per student, up to 30 students, and has around 15 programming kits, so students are paired up with those. Students use the programming software called ROBOTC on desktops in the classroom.

The difficulty curve for getting ROBOTC set up and getting your first program written is a bit of a steep one, Hazel Roeder, a sophomore, said. So I try to assist with that and getting peoples first program down so that way they can have their robot run and actually do tasks.

As a teacher, some of Ericsons proudest moments come when he teaches a concept or idea that students can use to formulate into solutions for problems.

Thats what its all about to me, thats how I teach, Ericson said. I teach that using the applied problem, project based approach.

Ericson said it can be very difficult as a teacher to watch students struggle to figure things out, but he realizes that if he does the work for students, they wont learn anything. Thats why teamwork is a part of his class. Brock Teagarden, a junior, said students helping one another gives the class a good and fun environment.

The education level seems to increase higher when a student helps another student as opposed to the teacher helping the student, Ericson said. This is a very student centered environment. It is the students working with the students and theyre producing their results. And thats exactly what STEM education is. Thats exactly what its all about. Were practicing it here at Bloomington High School South and Im proud to be part of it.

Online and in person

Payton Gross, a senior, said its kind of hard to be an online student right now, because as someone who was already on the robotics team, she enjoys the hands-on aspect of building a robot.

But also, being online and not having the chance to do that, it gives me more of an opportunity to analyze the basics of robotics and really build my own foundation of knowledge that I can then use later on, Gross said.

Ericson said with his online students, he gives them curriculum in a written form, but they dont get the active engagement of being in class and being able to be hands-on or the ability to use ROBOTC, which is on the desktops in the classroom but not laptops, he said.

From a teaching standpoint, its very difficult, Ericson said. I feel that the students that are out there online, dont get the same level that you get being in person. But I also understand why parents and students would want to stay home, too. I understand that totally.

As of right now, the Monroe County Community School Corp. will be in phase yellow on Nov. 30, following the districts Thanksgiving break, which means high schoolers will be on a hybrid schedule.

Online, I mean, I cant pass the projects through the computer, Ericson said. And I cant ask them to try to gather up materials to be able to do stuff.

Ericson also teaches a construction class, so students are working with saws and drills, quite different from other subjects, like art, where some supplies might be able to be sent home.

For the robotics club, one of the things that we did do is we have taken tubs of parts to certain students to build prototypes with, Ericson said. So there is some active stuff going on. But the students by themselves, they can come and talk to the mentors, but as far as being able to interact together as a team, and in person were not doing that, its all virtual.

Diversity in robotics and STEM

I am a diversity STEM instructor, so Im engaging everybody and showing their perspective on things, Ericson said. And Im encouraging people to work together. Robotics is something that men and women both should be involved with.

Gross said For Inspiration and Recognition of Science and Technology (FIRST), is an organization that the robotics club at South is involved in.

Its this whole global program that has different levels of robotics for different ages, Gross said. In 2019 for the overall program, 48% of any of the participants were actually women. So thats almost a 50/50 divide, which is a really good number, considering how STEM is often male dominated. And FIRST is really working to change that.

Gross said in past years, the robotics team at South has done programs with Girls in Engineering, Math and Science (GEMS) at the Bloomington High School North library and does middle school outreach programs to expand diversity, including racial diversity. Due to COVID-19, those kind of outreach efforts have been more difficult.

Gross said as a freshman on the robotics team, she was able to volunteer at the FIRST World Championship competition in Detroit, Michigan, and she saw a lot of teams of all girls from Japan, Pakistan and other areas of the world.

It really, really helped inspire me to stay in the program and really help develop the diversity within not only our Bloomington area, but hopefully someday across the world, Gross said.

Contact Emily Cox at 812-331-4243, ecox@heraldt.com or follow @HT_InSchool on Twitter.

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Robotics elective offered at South for the first time - Times-Mail

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Underwater Robotics Market 2020 |Global Industry Analysis by Size, Growth Rate, Share, Trends, Key Players, COVID-19 Impact, Opportunity, and Regional...

Magnetic spray turns objects into robots that walk, roll and crawl – New Atlas

By combining magnetic materials with magnetic fields, robotics researchers continue to develop machines that can be remotely manipulated in all kinds of useful ways, such as somersault through the colon or crawl through blood vessels to deliver drugs. Scientists at the City University of Hong Kong have developed a new type of spray-on coating they say can give regular objects these kinds of capabilities, with particular potential in biomedical applications.

The research focuses on expanding the use of insect-scale robots measured in mere millimeters, the tiny size of which lends itself to applications in the human body. Back in 2018, we looked at an interesting example of these types of "millirobot," where scientists embedded magnetic microparticles into a rubbery silicon robot body, which could then be made to walk, crawl, jump and roll via application of an external magnetic field.

Rather than build a magnetic millirobot from the ground up, the authors of the new study set out to develop a tool that could be used to construct magnetic millirobots from regular objects. This tool comes in the form of a magnetic coating called M-spray, which is made of polyvinyl alcohol, gluten and iron particles, and can adhere to smooth and textured surfaces of all kinds of materials.

Our idea is that by putting on this magnetic coat, we can turn any objects into a robot and control their locomotion, says Dr Shen Yajing, who led the research team. The M-spray we developed can stick on the targeted object and activate the object when driven by a magnetic field.

City University of Hong Kong

The film formed by the M-spray is less than a quarter of a millimeter thick, which the team says is key to maintaining the form and size of the original object. The team demonstrated the approach using cotton threads, thin films and plastic pipes as their starting objects, which became soft tiny robots capable of walking, crawl and rolling with the help of a magnetic field. But interestingly, the mode of locomotion isnt set in stone once the coating is applied.

The locomotion mode can actually be reprogrammed on demand by wetting the solidified coating, turning it into a glue-like substance. Then, by applying a strong magnetic field, the magnetic particles within the coating can be redistributed and realigned, changing the way the robot reacts to the magnetic field.

The team demonstrated this by having the same millirobot change from a caterpillar-like movement to a slower concertina-like movement, as a way of squeezing through a narrow gap. In another experiment, the researchers coated a catheter in the M-spray and reprogrammed its locomotion mode on the fly to have it perform both smooth and sharp turns, which could help avoid injury when these medical devices are inserted into the human body.

In vivo experiments followed, involving capsules coated with M-spray and anesthetized rabbits. The rabbits were administered the capsules and the team tracked them as they moved through the stomach with radiology imaging, before dissolving the coating when the capsules reached a targeted location. This is made possible by the makeup of the M-spray that enables it to disintegrate into powder under a magnetic field or acidic environments.

All the raw materials of M-spray, namely PVA, gluten and iron particles, are biocompatible, says Shen. The disintegrated coating could be absorbed or excreted by the human body.

Beyond biomedical applications, the team sees a range of potential uses for the technology.

"We hope this construction strategy can contribute to the development and application of millirobots in different fields, such as active transportation, moveable sensor and devices, particularly for the tasks in limited space, said Dr Shen.

The research was published in the journal Science Robotics, while you can see a demonstration of the robots in the video below.

Novel magnetic spray transforms objects into millirobots for biomedical applications

Source: City University of Hong Kong

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Magnetic spray turns objects into robots that walk, roll and crawl - New Atlas

Robots Invade the Construction Site – WIRED

Theresa Arevalo was in high school when she first tried finishing drywall at her brothers construction company. Its a fine art, she says of muddingapplying and smoothing drywall. Like frosting a cake, you have to give the illusion that the wall is flat.

Fast-forward a few decades: Arevalo now works at Canvas, a company thats built a robot using artificial intelligence thats capable of drywalling with almost as much artistry as a skilled human worker.

The robot has been deployed, under Arevalos supervision, at several construction sites in recent months, including the new Harvey Milk Terminal at San Francisco International Airport and an office building connected to the Chase Center arena in San Francisco.

About the size of a kitchen stove, the four-wheeled robot navigates an unfinished building carrying laser scanners and a robotic arm fitted to a vertical platform. When placed in a room, the robot scans the unfinished walls using lidar, then gets to work smoothing the surface before applying a near perfect layer of drywall compound; sensors help it steer clear of human workers.

The Canvas robot can help companies do more drywalling in less time. It requires human oversight, but its operator does not need to be an expert drywaller or roboticist.

It has long been impractical to deploy robots at construction sites, because the environment is so varied, complex, and changing. In the past few years however, advances including low-cost laser sensors, cheaper robotic arms and grippers, and open source software for navigation and computer vision have made it possible to automate and analyze more construction.

The more advanced machines marching onto construction sites will help make construction less wasteful. According to McKinsey, productivity in construction has improved less than in any other industry over the past couple of decades. The arrival of more automation may also alter demand for labor in a number of building trades.

They love the fact that its so consistent, that the wall is gorgeous. But then the next question is, When is it going to take my job?

Theresa Arevalo, Canvas

Kevin Albert, cofounder and CEO of Canvas, previously worked at Boston Dynamics, a company famous for its lifelike walking robots, and in the manufacturing industry. He says theres great opportunity in construction, which generates about $1.4 trillion annually and accounts for around 7 percent of US GDP but has seen relatively little use of computerization and automation. We really see construction as mobile manufacturing, he says. There's this natural extension of what machines are now capable of out in the real world.

Canvas is part of a boom in construction technology, says Alex Schreyer, director of the Building and Construction Technology Program at the University of Massachusetts, Amherst. He says some of the biggest progress is being made in prefabrication of buildings, using robotic processes to construct large parts of buildings that are then assembled on-site. But increasingly, he says, robots and AI are also finding their way onto conventional work sites.

Autonomous vehicles made by Volvo ferry materials and tools around some large sites. Technology from San Francisco startup Built Robotics lets construction machinery such as diggers and dozers operate autonomously. A growing array of robotic equipment can take over specialized construction tasks including welding, drilling, and brick-laying. There are some really interesting things happening, Schreyer says.

An IDC report published in January 2020 forecasts that demand for construction robots will grow about 25 percent annually through 2023.

One big opportunity in construction, Schreyer says, is using computer vision and other sensing technologies to track the movement of materials and workers around a work site. Software can automatically flag if a job is falling behind, or if something has been installed in the wrong place. There is so much potential to do something with that using AI, Schreyer says. More companies are going to move into that AI space.

Doxel, based in Redwood City, California, makes a mobile robot that scans work sites in 3- so that software can calculate how the project is progressing. A four-legged Boston Dynamics robot called Spot is being tested for the same purpose at a number of sites. Several companies sell drones for automated construction site inspection, including Propeller, vHive, ABJ Drones, and DJI.

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Robots Invade the Construction Site - WIRED

Global Modular Robotics Markets, 2019-2020 & 2030: Market will Rise from $5.6 Billion to $15.1 Billion – GlobeNewswire

Dublin, Nov. 18, 2020 (GLOBE NEWSWIRE) -- The "Modular Robotics Market Research Report: By Offering, Robot Type, Payload Capacity, End User - Global Industry Analysis and Growth Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.

The revenue of the market will rise from $5.6 billion to $15.1 billion from 2019 to 2030, with the market demonstrating a CAGR of 9.9% from 2020 to 2030.

The rising requirement for automation in manufacturing and warehouse operations is pushing up the global demand for collaborative modular robotics systems. This is, in turn, boosting the sales of modular robotics systems all over the world, which is causing the surge of the global modular robotics market.

A key market driver is the rising usage of collaborative modular robotics systems or cobots as they are sometimes called, in the logistics industry. With the adoption of these robots, the operators can hand over the parts to the robots for performing the rest of the tasks, which results in faster production processes, lesser expenditure, and lesser floor space requirements. These robots are also being used for load carrying and transporting tasks, because of their versatility.

Another factor fueling the progress of the market is the rising requirement for automation in manufacturing processes. The increasing requirements for faster manufacturing times, high efficiency in production processes, and higher manufacturing outputs are augmenting the need for automation in industries. As a result, modular robotics systems are being increasingly used in various operations in factories and warehouses. When offering is taken into consideration, the modular robotics market is classified into software, hardware, and services.

Out of these categories, the software category is predicted to exhibit the fastest growth in the market in the future years, mainly due to the burgeoning requirement for software for checking the real-time functioning of a modular robotics system and the growing integration of IoT and AI in these robots. However, despite this factor, the highest market growth will be demonstrated by the hardware category, under the offering segment, in the upcoming years.

According to the forecast of the market research company this category will hold the highest revenue share in the market in the future. Depending on robot type, the market is divided into SCARA (selective compliance assistance robot arm) modular robotics systems, collaborative modular robots, cartesian modular robots, parallel modular robots, and articulated modular robotics systems, out of which, the articulated modular robotics system division will register the highest growth in the market in the forthcoming years.

Historically, the modular robotics market exhibited the highest growth in the Asia-Pacific (APAC) region and this trend will continue in the coming years as well, primarily because of the ballooning investments being made in electricals, electronics, and automotive industries, especially in the regional nations such as China, South Korea, and India. In addition to this, the rising usage of collaborative modular robotics systems in manufacturing operations is massively propelling the sales of these robots in the region.

Hence, it can be inferred from the above paragraphs that the sales of modular robotics systems will rise steeply throughout the world in the coming years, mainly because of the growing requirement for automation in factory, warehouse, and logistics operations and the rising usage of collaborative modular robotics systems in various industries.

Key Topics Covered:

Chapter 1. Research Background1.1 Research Objectives1.2 Market Definition1.3 Research Scope1.4 Key Stakeholders

Chapter 2. Research Methodology2.1 Secondary Research2.2 Primary Research2.3 Market Size Estimation2.4 Data Triangulation2.5 Currency Conversion Rates2.6 Assumptions for the Study2.7 Notes and Caveats2.8 Impact of COVID-19 Outbreak

Chapter 3. Executive Summary

Chapter 4. Introduction4.1 Definition of Market Segments4.1.1 By Offering4.1.1.1 Hardware4.1.1.1.1 Controller4.1.1.1.2 Driver module4.1.1.1.3 Manipulator4.1.1.1.4 Sensor4.1.1.1.5 Other4.1.1.2 Software4.1.1.3 Services4.1.2 By Robot Type4.1.2.1 Articulated modular robots4.1.2.2 Cartesian modular robots4.1.2.3 SCARA modular robots4.1.2.4 Parallel modular robots4.1.2.5 Collaborative modular robots4.1.2.6 Others4.1.3 By Payload Capacity4.1.3.1 1-16.0 Kg4.1.3.2 16.1-60.0 Kg4.1.3.3 60.1-225.0 Kg4.1.3.4 More Than 225.0 Kg4.1.4 By End User4.1.4.1 Industrial4.1.4.1.1 Automotive4.1.4.1.2 Electrical & electronics4.1.4.1.3 Plastics & rubber4.1.4.1.4 Metals & machinery4.1.4.1.5 Food & beverages4.1.4.1.6 Healthcare4.1.4.1.7 Others4.1.4.2 Commercial4.1.4.3 Residential4.2 Value Chain Analysis4.3 Market Dynamics4.3.1 Trends4.3.1.1 Penetration of IIoT in industrial manufacturing4.3.2 Drivers4.3.2.1 Surging demand for automation in manufacturing industry4.3.2.2 Growing demand for collaborative modular robots4.3.2.3 Impact analysis of drivers on market forecast4.3.3 Restraints4.3.3.1 Complexity in design of modular robots4.3.3.2 Impact analysis of restraints on market forecast4.3.4 Opportunities4.3.4.1 Use of artificial intelligence to improve productivity4.4 Porter's Five Forces Analysis

Chapter 5. Global Market Size and Forecast5.1 By Offering5.1.1 Hardware, by Type5.2 By Robot Type5.3 By Payload Capacity5.4 By End User5.4.1 Industrial, by Type5.5 By Region

Chapter 6. North America Market Size and Forecast

Chapter 7. Europe Market Size and Forecast

Chapter 8. APAC Market Size and Forecast

Chapter 9. LATAM Market Size and Forecast

Chapter 10. MEA Market Size and Forecast

Chapter 11. Competitive Landscape11.1 List of Players and Their Offerings11.2 Ranking Analysis of Key Players11.3 Competitive Benchmarking of Key Players11.4 Global Strategic Developments in the Market11.4.1 Product Launches11.4.2 Facility Expansions11.4.3 Partnerships11.4.4 Client Wins

Chapter 12. Company Profiles12.1 Business Overview12.2 Product and Service Offerings12.3 Key Financial Summary

For more information about this report visit https://www.researchandmarkets.com/r/2cn6vp

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Global Modular Robotics Markets, 2019-2020 & 2030: Market will Rise from $5.6 Billion to $15.1 Billion - GlobeNewswire

Robots are not immune to bias and injustice – Science

Abstract

Human-human social constructs drive human-robot interactions; robotics is thus intertwined with issues surrounding inequity and racial injustices.

Most roboticists focus on the design of intelligent machines with the goal of positively affecting the world, i.e., building robots in service to humanity. To this end, roboticists should embrace the concept in which our robot systems are explicitly designed to work with uniformly positive performance across the diversity of users. Unfortunately, researchers have shown that this is not always the case. Object detection systems, of the kinds used in autonomous vehicles, have uniformly poorer performance when it comes to detecting pedestrians with darker skin tones (1). Researchers have also shown that racial bias exists in commercial facial recognition application programming interfaces or APIs (2).

It is not just the responsibility of society or governing bodies to take on the challenge of fixing racial bias and inequity. Roboticists also need to take on the responsibility to make sure we do not cause equivalent harm in developing new technologies. And if the harm we are creating is negatively affecting one group or groups more than another, it is our responsibility to fix that. After all, roboticists are pretty skilled at finding solutions to hard, seemingly unsolvable problems. It is time to apply those skills to fix this one.

We propose that developers should consider the ethical implications of robotic usagenamely, ethical use and equity in performanceespecially when robot use could result in harm to any group. We define ethical use as the process for weighing the potential benefits against the possible risk of harm to all affected groups; only when this weighting factor is positive and sufficiently mitigates harm should deployment of the technology be considered. We define equity in performance as a metric to determine to what extent a deployed technologys performance is uncorrelated with a groups protected characteristics (race, ethnicity, age, gender, sex, etc.). If there is lack of equity in performance, then the implications deploying such technology should be carefully considered as well as the reliance of the technology.

We believe that an important step in addressing equity in performance as well as ethical use is to ensure more diverse teams are the creators of these technologies and to understand how to draw on their diverse backgrounds for team success (3); the very practical consequence of this concept is that diverse backgrounds will allow use and implications of the technology to be seen from unique perspectives, increasing the chances for equity and ethics. Diverse teams can also lead to better performancethis fact has been shown time and time again (4). Thus, to begin the process of addressing this problem, a new organization was founded: Black in Robotics (BiR) (www.blackinrobotics.org). BiR is an organization that was born to address the systemic inequities found in our robotics community by focusing on three primary pillarscommunity, advocacy, and accountability.

This can be defined as a sense of fellowship with those that share similar characteristics and goals and has been shown to directly correlate with success in STEM higher education for underrepresented minorities (5). As discussed in (6), while there are no U.S. statistics collected specifically about the demographics of the robotics workforce, we can examine the engineering workforce statistics as an indicative metric. In 2018, 12.7% of the U.S. population was Black or African American (7), but only 4.2% of bachelors degrees in engineering went to Black scholars (8). This issue of lack of diversity is also found in the tightly integrated field of artificial intelligence (AI), particularly when it comes to algorithm design and testing for AI systems that affect diverse populations (9). BiR plans to build community through networking and mentorship. We believe that establishing community is the first step to increasing the presence of Black and other diverse groups in the field of robotics.

For robotics, advocacy is defined as explicit action that supports or defends equity in performance as well as ethical use on the behalf of all, with a focus on ensuring equal outcomes across diverse communities. BiRs contribution toward the goal of advocacy is to showcase Black excellence in our community and to help connect academia and industry to the talent found in diverse communities. One such activity is the Black in Robotics Reading List, with objectives to provide academic role models for aspiring researchers and to normalize Black scholarship (6).

Our pillar of accountability is to design pathways for all roboticists, including allies, to participate in the solution. Just as being Black does not exclude those that identify as Black from being discriminated against based on their skin color, not identifying as Black should not exclude ones involvement in dismantling issues around robotics and race. For accountability, BiR seeks to function as the conduit to engage communities, to identify best practices, and to hold all of us accountable for making the robots that we design and deploy usable for all groups and communities.

We hope that the BiR organization inspires individuals to increase diversity in their spaces. We believe that this diversity is crucial for us to answer the next big questions for robotics as we integrate them more into our daily lives. Therefore, our mission is a call to action for the entire robotics community to increase diversity and to build with thoughtfulness for disadvantaged groups.

Complicity through silence is not an option.

M. Wang, W. Deng, J. Hu, X. Tao, Y. Huang, Racial faces in the wild: Reducing racial bias by information maximization adaptation network, in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, 27 October to 2 November 2019.

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Robots are not immune to bias and injustice - Science

How AI and Robotics are Transforming Recycling | Greenbiz – GreenBiz

Date/Time: December 10, 2020 (1-2PM ET / 10-11AM PT)

The challenges facing recycling in the U.S. may seem daunting but cross-sector collaboration is providing a path forward on many of its toughest issues. This kind of collaboration - CPG companies working hand-in-hand with technological innovators, MRF operators and investors - will be critical to solving logjams and current hurdles to improving recycling in the United States. Leaders from AMP Robotics, GFL Environmental, Keurig Dr Pepper and Sidewalk Infrastructures sit down to discuss how their work together is bringing about much needed change to our recycling systems and how this collaborative systems approach proves the power of cross-sector action to address critical issues.

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How AI and Robotics are Transforming Recycling | Greenbiz - GreenBiz

BMW Group founds company to develop and distribute innovative robots and management software for logistics solutions – Green Car Congress

The BMW Group has founded IDEALworks GmbHa fully-owned subsidiaryheadquartered in Munich. The aim is to become a leading supplier of autonomous robotics solutions in the logistics sector. The name IDEAL stands for Industry-Driven Engineering for Autonomous Logistics.

In founding IDEALworks, we are creating a new business segment for our logistics solutions. In recent years, our logistics innovation team has been working in depth on the digitalization and automatization of production logistics and has developed some unique solutions. The Smart Transport Robot, STR, in particular has met with great response and has seen demand from both within and outside of the BMW Group. Founding IDEALworks GmbH is now the logical next step for the BMW Group as a driver of innovation.

Milan Nedeljkovi, the member of the Board of Management of BMW AG responsible for Production

We are entering completely new terrain with IDEALworks GmbH. Up until now, our development has focused on automotive production and its logistics. Our perspective is changing now. We are becoming a provider of logistics robotics beyond the automotive industry. We are preparing some innovations for the coming months.

Jimmy Nassif, CTO IDEALworks GmbH

Since 2015, the innovations team from BMW Group Logistics has been working on future-focused industry 4.0 solutions in the fields of virtual reality, augmented reality, in- and out-door logistics robots, paperless logistics and smart devices. Many of these solutions are already in series production at BMW Group production locations. In 2019, BMW Group Logistics received the prestigious Deutscher Logistik Preis [German Logistics Award]. The Smart Transport Robot and its management software were also recognized as part of this award.

The Smart Transport Robot, STR, was developed in 2015 in collaboration with the Fraunhofer Institute. The flat, autonomous and mobile robots can transport goods weighing up to one ton to their destination. They independently calculate the best route and move freely around the space using the SLAM (Simultaneous Localization and Mapping) navigation method. The SLAM algorithm does not require permanent navigation transmitters to be installed in buildings and can therefore be set up quickly in a new environment without requiring any structural adjustments.

An integrated battery module from the BMW i3 is able to supply the STR with power for at least an entire shift.

The next generation of the STR will be rolled out at the end of 2020. Currently, more than 130 STRs are already in series production at several different BMW Group production sites.

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BMW Group founds company to develop and distribute innovative robots and management software for logistics solutions - Green Car Congress

Interlocking AIs let robots pick and place faster than ever – TechCrunch

One of the jobs for which robots are best suited is the tedious, repetitive pick and place task common in warehouses but humans are still much better at it. UC Berkeley researchers are picking up the pace with a pair of machine learning models that work together to let a robot arm plan its grasp and path in just milliseconds.

People dont have to think hard about how to pick up an object and put it down somewhere else its not only something weve had years of practice doing every day, but our senses and brains are well adapted for the task. No one thinks, what if I picked up the cup, then jerked it really far up and then sideways, then really slowly down onto the table the paths we might move an object along are limited and usually pretty efficient.

Robots, however, dont have common sense or intuition. Lacking an obvious solution, they need to evaluate thousands of potential paths for picking up an object and moving it, and that involves calculating the forces involved, potential collisions, whether it affects the type of grip that should be used, and so on.

Once the robot decides what to do it can execute quickly, but that decision takes time several seconds at best, and possibly much more depending on the situation. Fortunately, roboticists at UC Berkeley have come up with a solution that cuts the time needed to do it by about 99 percent.

The system uses two machine learning models working in relay. The first is a rapid-fire generator of potential paths for the robot arm to take based on tons of example movements. It creates a bunch of options, and a second ML model, trained to pick the best, chooses from among them. This path tends to be a bit rough, however, and needs fine-tuning by a dedicated motion planner but since the motion planner is given a warm start with the general shape of the path that needs to be taken, its finishing touch is only a moments work.

Diagram showing the decision process the first agent creates potential paths and the second selects the best. A third system optimizes the selected path.

If the motion planner was working on its own, it tended to take between 10 and 40 seconds to finish. With the warm start, however, it rarely took more than a tenth of a second.

Thats a benchtop calculation, however, and not what youd see in an actual warehouse floor situation. The robot in the real world also has to actually accomplish the task, which can only be done so fast. But even if the motion planning period in a real world environment was only two or three seconds, reducing that to near zero adds up extremely fast.

Every second counts. Current systems spend up to half their cycle time on motion planning, so this method has potential to dramatically speed up picks per hour, said lab director and senior author Ken Goldberg. Sensing the environment properly is also time-consuming but being sped up by improved computer vision capabilities, he added.

Right now robots doing pick and place are nowhere near the efficiency of humans, but small improvements will combine to make them competitive and, eventually, more than competitive. The work when done by humans is dangerous and tiring, yet millions do it worldwide because theres no other way to fill the demand created by the growing online retail economy.

The teams research is published this week in the journal Science Robotics.

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Interlocking AIs let robots pick and place faster than ever - TechCrunch

Robotics team mentored by Texas A&M at Qatar finishes 19th at FIRST Global Challenge – The Peninsula Qatar

23 Nov 2020 - 9:01

Participating students at the FIRST Global Challenge pose with their invention.

Doha: Team Qatar, the STEM-vengers, have finished in 19th place among 175 teams worldwide in the FIRST Global Challenge.

The team is part of Texas A&M University at Qatars STEM Hub Robotics Club (SHRC), a joint initiative between the QF partner university and the Qatar National Research Fund (QNRF).

Team Qatar is made up of 25 high school students with interest in robotics from 14 schools across Qatar.

The annual FIRST Global Challenge, an Olympics-style robotics event, is based on the 14 Grand Challenges of Engineering identified by the U.S. National Academy of Engineering. Because of the COVID-19 pandemic, the 2020 competition, Connecting Communities, consisted of three months filled with social media and technical challenges, talks by STEM professionals, and technical training sessions all while connecting the FIRST Global Community around the world.

Mohammed Al Marri said, I have participated in many STEM outreach programs at Texas A&M in Qatar. I aspire to become an engineer who solves various problems from renewable energy methods to global environmental challenges. FIRST Global Challenge 2020 was not only an opportunity for students to consolidate their learning, but a home to a diverse community of members to come together and take on problems of purpose. Team Qatar is keen on delivering results every day to benefit the world by whatever means necessary. Im proud of my contribution to Team Qatars performance this year, and Im most definitely excited about next years competition!

QNRF Executive Director, Dr Abdul Sattar Al Taie, said, I would like to congratulate the team representing Qatar in the FIRST Global Challenge for being ranked in the top 20 among 175 teams from across the world.

"This achievement is a testimony of the success of our partnership with Texas A&M University at Qatar through the state-of-the-art STEM HUB facility, which has been providing training to students from schools across the country and nurturing them as Qatars future researchers and scientists. The teams impressive performance at this high-level robotics competition will greatly motivate other students to pursue STEM education with passion, and through their knowledge, contribute to the development of Qatar.

The team was mentored by Texas A&M at Qatars STEM program specialist Dr. Mohamed Gharib to promote creative applications of engineering and science toward innovative thinking and original design among Qatars youth. Gharib established the SHRC at Texas A&M at Qatar in 2019 in cooperation with QNRF to use robotics to enhance, supplement, and enrich science and math learning experiences for secondary students.

To put together a team of talented students from different schools in Qatar whose interests are in engineering in general and robotics in particular; and prepare them to participate in international competitions.

Team Qatar has shown a strong presence in the FIRST Global competitions since the first participating in 2018 when Qatar achieved the bronze medal in Mexico. In 2019, Gharib won the Outstanding Mentor Award, which is given to mentors committed to their students and inspired them to keep going, despite any challenges.

Gharib said, I am so proud of these students who dedicated their time and effort with passion and creativity for three months. They always have the determination to introduce innovative ideas, and with their talent and teamwork in different areas, they developed impressive solutions for the 25 challenges in the current competition.

"STEM education in Qatar is rapidly developing and directly influences the students knowledge and skills. As a result, Qatar teams have shown a strong presence in the latest competitions by FIRST Global. The support of Texas A&M at Qatar and Qatar National Research Fund was invaluable.

Read also

23 Nov 2020 - 8:55

As part of the Year of Sports initiative, the Indian Sports Center (ISC), under the patronage of the Embassy of India, recently organised for the first time the 'ISC Online Fitness Challenge' where a total of 71 participants registered from Qatar and participated.

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Robotics team mentored by Texas A&M at Qatar finishes 19th at FIRST Global Challenge - The Peninsula Qatar

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Edible Soft Robotics Market Analysis Report with Highest CAGR and Major Players like || Ekso Bionics, ReWalk Robotics, Bioservo Technologies AB and...

Grene Robotics to raise $15 million in Series A funding by April – BusinessLine

Hyderabad-based Grene Robotics is planning to raise $15 million in a Series A funding. It has initiated discussions with several capital funds, large business houses and crowd-funding firms.

The company would be using the funding for R&D, customer acquisitions and foray into foreign shores.

Ideally we would like to raise about $15 million, but depending on investor interests it could be more. We can even go up to $30 million. We are looking at raising funds, mostly growth capital, by April, Grene Robotics Founder and CEO Kiran Raju told BusinessLine.

The funds will be largely utilised for customer acquisition to raise the order book up to $55 million, he added, but declined to name the funds before deals are signed.

Grene Robotics had so far invested $6 million raised from family and friends and others, including serial entrepreneur and investor Jay Krishnan.

The company is also planning immediate forays into countries such as Singapore, the US, Africa and the UK, for which also a part of the funding would be used.

The companys flagship product GreneOS is a unified Operating System that would be a replacement to enterprise systems in Fortune 1000 companies and Government offices across the world. GreneOS will be able to manage connected robots to maximum efficiency autonomously.

Kiran Raju, who had worked on building autonomous systems for Defence Advanced Research Projects Agency (DARPA) while doing his Masters at Carnegie Mellon University, was the co-founder of energy efficiency company Valence Energy.

Valence Energy was later acquired by US-based Serious Materials, which is now called Serious Energy. His second venture, SA Habitat, which was into housing and real estate, got merged with a partner company in 2010.

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Grene Robotics to raise $15 million in Series A funding by April - BusinessLine

The robots are preparing Thanksgiving meal boxes – BetaBoston

Robots at Berkshire Greys innovation lab in Bedford have been busy picking up cans of green beans and packets of corn bread mix, placing the items into cardboard boxes as they shuffle down an artificial intelligence-directed assembly line.

This year, the robotics company is using its technology as part of a partnership with two food assistance nonprofits to provide Thanksgiving meals to more than 4,000 families as the pandemic heightens the need for assistance. Already, Berkshire Grey robots have packed tens of thousands of pounds of donated food into boxes.

The system manages the inventory and knows how many of each [item] has to go in each outbound box, said Tom Wagner, chief executive of Berkshire Grey, in an interview. On one pass it might do green beans, on another pass it might do kidney beans, maybe the stuffing...at any given moment it is completing orders and starting new ones.

Berkshire Greys robotics system is typically used by retailers and grocery chains to automate their fulfillment processes.

Working with the Greater Boston Food Bank and City Harvest in New York, the company hopes to lessen the workload for volunteers at food banks, who often assemble donation boxes during the holiday season. Berkshire Grey is calling the initiative Picking With Purpose.

Its a couple people operating a system versus many people manually sorting the goods, Wagner said, adding that the robots work at a comparable speed to humans. The more important thing is that it removes the labor need for the food bank.

Catherine DAmato, chief executive of the Greater Boston Food Bank, said the partnership comes as food insecurity in Massachusetts has increased at a higher rate than in any other state during the health crisis. In a press release, she said the partnership with Berkshire Grey is a promising innovation and will fill a critical need this holiday season, and beyond.

Berkshire Grey first considered using its technology to assemble donation boxes several years ago, but as a smaller business, we just wouldnt have been able to support this, Wagner said. Now, with $265 million in new funding it raised earlier this year, he said he hopes to make the philanthropic effort a regular occurrence, expanding to more cities as it attracts more partners.

In addition to its Bedford headquarters, the company also has a facility in Lexington.

Anissa Gardizy can be reached at anissa.gardizy@globe.com. Follow her on Twitter @anissagardizy8.

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The robots are preparing Thanksgiving meal boxes - BetaBoston

Logistics Robots Market to Witness Massive Growth by 2026 – The Daily Philadelphian

A study published on COVID-19 Outbreak-Global Logistics Robots Market, includes exploratory survey, qualitative commentary on changing market dynamics with market sizing and estimates for 18+ Global Countries, business segments and applications. The identification of hot and emerging players is completed by profiling 50+ Industry players; some of the profiled players are Fanuc India Private Limited, ABB Robotics, Asic Robotics AG, Clearpath Inc (OTTO Motors), KION Group, Denso Wave, Kawasaki Heavy Industries, Ltd., Toshiba Corporation, IAM Robotics, Kuka AG, Amazon Robotics, DAIFUKU Co, Ltd & Yaskawa America, Inc.

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Latest analysis highlights high growth emerging players and leaders by market share that are currently attracting exceptional attention. It also encourages executives and managers to evaluate deeply complementary research metric. The assessments also offer insight into the share and size of varioussegments in the COVID-19 Outbreak- Logistics Robots market. The scope of the study includes market break-up or segmentation as follows:

Type:, Robotic arms, Unmanned aerial vehicles (UAV), Unmanned ground vehicles (UGV) & Others

Application / End Users:Warehouse, Outdoor, Factory & Others

Early buyers are entitled to receive 10-25% discount on standard version of report or 20% customization on reports at no added cost. Get more details @https://www.htfmarketreport.com/request-discount/2875836-covid-19-outbreak-global-logistics-robots-industry-market

The study cites examples of various market development activities and business strategies that Industry players are taking to overcome economic slowdown and to match demand supply gap. A detailed company profile, Main Business Information, SWOT Analysis, Sales, Revenue, Average Price, Gross Margin and % Market Share of select players would be available in the study.

Extracts from Table of Content.

Chapter 4 COVID-19 Outbreak-Global Logistics Robots Market Landscape (2015-2026)4.1 Market Overview4.2 Classification/Types4.3 Application/End Users

Chapter 5 COVID-19 Outbreak- Logistics Robots Market Dynamics5.1 Introduction5.2 Drivers5.3 Restraints5.4 Opportunities5.5 Threats

Chapter 6 COVID-19 Outbreak- Logistics Robots Market Sizing & Estimates by Revenue, Sales Volume (2015-2026)6.1. North America6.1.1. United States6.1.2. Canada6.1.3. Mexico6.1.4. North America by Type [, Robotic arms, Unmanned aerial vehicles (UAV), Unmanned ground vehicles (UGV) & Others]6.1.5 North America by Application [Warehouse, Outdoor, Factory & Others]

6.2. South America6.2.1. Brazil6.2.2. Argentina6.2.3. Rest of South America6.2.4. South America by Type [, Robotic arms, Unmanned aerial vehicles (UAV), Unmanned ground vehicles (UGV) & Others]6.2.5 South America by Application [Warehouse, Outdoor, Factory & Others]

6.3. Asia Pacific6.3.1. China6.3.2. Japan6.3.3. India6.3.4. South Korea6.3.5. Taiwan6.3.6. Australia6.3.7. Rest of Asia-Pacific6.3.8 Asia Pacific by Type [, Robotic arms, Unmanned aerial vehicles (UAV), Unmanned ground vehicles (UGV) & Others]6.3.9. Asia Pacific by Application [Warehouse, Outdoor, Factory & Others]

6.4. Europe6.4.1. Germany6.4.2. France6.4.3. Italy6.4.4. United Kingdom6.4.5. BeNeLux6.4.6. Rest of Europe6.4.7 Europe by Type [, Robotic arms, Unmanned aerial vehicles (UAV), Unmanned ground vehicles (UGV) & Others]6.4.8. Europe by Application [Warehouse, Outdoor, Factory & Others]

6.5. MEA6.5.1. Middle East6.5.2. Africa

continued

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Logistics Robots Market to Witness Massive Growth by 2026 - The Daily Philadelphian

The Worldwide Personal Robots Industry is Expected to Grow at a CAGR of 7.8% Between 2020 and 2030 – GlobeNewswire

Dublin, Nov. 20, 2020 (GLOBE NEWSWIRE) -- The "Personal Robots Market Research Report: By Offering, Type - Global Industry Analysis and Growth Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.

At the present time, the world has become largely dependent on technology, and novel devices are being developed continuously for making the loves of human easier. It is due to this that the demand for personal robots is projected to increase in the coming years. The robotics market has been witnessing significant growth, particularly in the service and private sectors, since the past few years. This can be majorly attributed to the technological advancements.

Owing to these factors, the global personal robots market is projected to grow considerably in the years to come. A major reason leading to the high demand for these robots is their declining prices. Reduced prices of these devices are encouraging more and more people to buy them. The industry has been witnessing 2-9% yearly decline in price. This will further increase the affordability of these robots in emerging economies. Manufacturers are further trying to produce cheaper models for penetrating low-income countries.

These days, manufacturers have further started working on developing personal robots equipped with AI. The technology has enabled personal robots to sense, navigate, and calculate their response on the input received accordingly. The robots learn to perform their tasks from human beings from these responses, via machine learning. Manufacturers are further investing in new technologies for dealing with the rising competition in the domain, which is expected to result in the growth of the market.

The personal robots market is projected to generate a revenue of $51.5 billion in 2030, increasing from $21.5 billion in 2019, progressing at a 7.8% CAGR during the forecast period (2020-2030). On the basis of type, the market is categorized into security robots, personal transportation robots, companion robots, cleaning robots, handicap assistance robots, educational robots, and entertainment & toy robots, out of which, the cleaning robots category held the largest share of the market during the historical period (2014-2019).

These robots are used commonly in households, since they assist in daily chores and make the lives of their owners easier. The acceptance for these robots is further increasing rapidly in emerging countries, owing to their decreasing prices. The companion robots category is predicted to witness the highest CAGR during the forecast period, as they are widely becoming the missing companion in the solitary lives of people. It has been observed that one in every five citizens remains a bachelor in their lives, which is why, the demand for companion robots is predicted to increase in the coming years.

Geographically, the European region held the major share of the personal robots market during the historical period, as per a report by the publisher. The region has already been holding a prominent position in the overall robotics industry, which is why, the demand for personal robots is also high in the region. The Asia-Pacific region is expected to witness the fastest growth during the forecast period.

Key Topics Covered:

Chapter 1. Research Background1.1 Research Objectives1.2 Market Definition1.3 Research Scope1.3.1 Market Segmentation by Offering1.3.2 Market Segmentation by Type1.3.3 Market Segmentation by Geography1.3.4 Analysis Period1.3.5 Market Data Reporting Unit1.3.5.1 Volume1.3.5.2 Value1.4 Key Stakeholders

Chapter 2. Research Methodology2.1 Secondary Research2.1.1 Paid2.1.2 Unpaid2.2 Primary Research2.2.1 Breakdown of Primary Research Respondents2.2.1.1 By region2.2.1.2 By industry participant2.2.1.3 By company type2.3 Market Size Estimation2.4 Data Triangulation2.5 Currency Conversion Rates2.6 Assumptions for the Study

Chapter 3. Executive Summary3.1 Voice of Industry Experts/KOLs

Chapter 4. Introduction4.1 Definition of Market Segments4.1.1 By Offering4.1.1.1 Hardware4.1.1.2 Software4.1.2 By Type4.1.2.1 Cleaning robots4.1.2.2 Entertainment & toy robots4.1.2.3 Educational robots4.1.2.4 Handicap assistance robots4.1.2.5 Companion robots4.1.2.6 Personal transportation robots4.1.2.7 Security robots4.1.2.8 Others4.2 Value Chain Analysis4.3 Market Dynamics4.3.1 Trends4.3.1.1 Open software platform for personal robotics4.3.1.2 Emergence of personal robots with AI4.3.1.3 Entry of new companies in personal robots market4.3.2 Drivers4.3.2.1 Declining price of personal robots4.3.2.2 Aging population in developed countries4.3.2.3 Increasing demand for mobile robots4.3.2.4 Impact analysis of drivers on market forecast4.3.3 Restraints4.3.3.1 Technical complexity coupled with security concerns in personal robots4.3.3.2 Lack of skilled professionals4.3.3.3 Impact analysis of restraints on market forecast4.3.4 Opportunities4.3.4.1 Growing demand for low-cost cleaning robots in developing countries4.3.4.2 Growing demand for "care-bot" and other robots from Japan4.4 Impact of COVID-19 on Personal Robots Market4.4.1 Current scenario4.4.2 COVID-19 scenario4.4.3 Future scenario4.5 Porter's Five Forces Analysis4.5.1 Bargaining Power of Buyers4.5.2 Bargaining Power of Suppliers4.5.3 Intensity of Rivalry4.5.4 Threat of New Entrants4.5.5 Threat of Substitutes

Chapter 5. Global Market Size and Forecast5.1 By Offering5.2 By Type5.3 By Region

Chapter 6. North America Market Size and Forecast6.1 By Offering6.2 By Type6.3 By Country

Chapter 7. Europe Market Size and Forecast7.1 By Offering7.2 By Type7.3 By Country

Chapter 8. APAC Market Size and Forecast8.1 By Offering8.2 By Type8.3 By Country

Chapter 9. LATAM Market Size and Forecast9.1 By Offering9.2 By Type9.3 By Country

Chapter 10. MEA Market Size and Forecast10.1 By Offering10.2 By Type10.3 By Country

Chapter 11. Major Markets for Personal Robots11.1 U.S. Personal Robots Market11.1.1 By Type11.2 Germany Personal Robots Market11.2.1 By Type11.3 China Personal Robots Market11.3.1 By Type

Chapter 12. Competitive Landscape12.1 List of Players and Their Offerings12.2 Ranking of Key Players12.2.1 Global Personal Robots Market Key Players Analysis12.3 Strategic Developments of Market Players12.3.1 Mergers & Acquisitions12.3.2 Product Launches12.3.3 Partnerships12.3.4 Geographic Expansion

Chapter 13. Company Profiles13.1 F&P Robotics AG13.1.1 Business Overview13.1.2 Product and Service Offerings13.2 Segway Inc.13.2.1 Business Overview13.2.2 Product and Service Offerings13.3 Neato Robotics Inc.13.3.1 Business Overview13.3.2 Product and Service Offerings13.4 ZMP Inc.13.4.1 Business Overview13.4.2 Product and Service Offerings13.5 iRobot Corporation13.5.1 Business Overview13.5.2 Product and Service Offerings13.5.3 Key Financial Summary13.6 Ecovacs Robotics Inc.13.6.1 Business Overview13.6.2 Product and Service Offerings13.7 Sony Corporation13.7.1 Business Overview13.7.2 Product and Service Offerings13.7.3 Key Financial Summary13.8 Honda Motor Co. Ltd.13.8.1 Business Overview13.8.2 Product and Service Offerings13.8.3 Key Financial Summary13.9 Samsung Electronics Co. Ltd.13.9.1 Business Overview13.9.2 Product and Service Offerings13.9.3 Key Financial Summary13.10 temi USA Inc.13.10.1 Business Overview13.10.2 Product and Service Offerings

Chapter 14. Appendix

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The Worldwide Personal Robots Industry is Expected to Grow at a CAGR of 7.8% Between 2020 and 2030 - GlobeNewswire

FBI hires 140 robots to retrieve sensitive information – ZDNet

Imagine the headache of physically retrieving a paper file from a large records room stuffed full of files. Now expand the problem by imagining a 250,000 square foot facility full of 360,000 filing bins stuffed with paper records.

Not interesting enough? Well, these aren't just any files, but sensitive law enforcement records that could be crucial in stopping crimes and vindicating innocent people.

That's the scenario facing administrators of a Winchester, Virginia, retrieval warehouse for FBI files built to consolidate records previously contained within more than 250 FBI field offices around the world. The FBI is famous for its record keeping and has collected billions of pages over its more than a century in existence. The job of building the facility to house about 2 billion of those pages falls to the government's General Services Administration, and it quickly became evident that manual retrieval for all the files in the new facility simply wasn't an option.

Enter the robots -- 140 of them, to be exact. After vetting various solutions, the GSA chose an automated record filing and retrieval system from robotics technology companyAutoStore, which not only streamlines retrieval via radio-controlled robots but also optimizes space by allowing files to be stored in a way that eliminates aisle space. Within the facility, the robots maneuver on an overhead steel grid system to identify, access, and retrieve requested items from any of the 360,000 bins.

"It is a privilege and honor to know our innovative warehouse automation technology serves U.S. government agencies," says Karl Johan Lier, CEO of AutoStore. "With the agility, efficiency and accuracy of AutoStore robots operating within our elegantly sophisticated high-density grid, the FBI will be able to carry out their mission with greater effectiveness and maintain its leadership in vital information management."

Security is obviously a key element of any installation using sensitive information. That includes ensuring the third-party supplier has no access to sensitive information, and the GSA and National Archives and Records Administration vetted several candidates before deciding on a supplier. The AutoStore software tracks record and bin numbers, allowing the robots to work securely without the system supplier having any access to the records themselves. AutoStore is headquartered outside the U.S., with its main offices in Norway.

According to AutoStore, the filing density of the system will help the government save money on rent and free up valuable space. The Virginia complex opened earlier this year and will be fully operational by 2022.

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FBI hires 140 robots to retrieve sensitive information - ZDNet

Next-Generation Industrial Robotic Capabilities Advanced by Artificial Intelligence – Robotics Tomorrow

As barriers between human activities and robotic capabilities diminish moving beyond the fenced activities of last-generation industrial robots new collaboration and workflow models are bringing humans and robots together in industry.

Case Study from | Wind River

THE CHALLENGE

Emerging instances of AI-enabled cobots, autonomous vehicles, and non-piloted drone operations are part of an expanding array of innovative use cases in industrial robotics. Industrial robotics integrated with AI are predicted to spur market growth by a projected CAGR of more than 15% in coming years, reaching USD 66.48 billion by 2027, according to Fortune Business Insights. As barriers between human activities and robotic capabilities diminish moving beyond the fenced activities of last-generation industrial robots new collaboration and workflow models are bringing humans and robots together in industry. Despite advances, however, expanding the range of use cases for robotics in Industrial IoT (IIoT) environments requires negotiating long-standing technical roadblocks. This includes the challenge of integrating diverse components across heterogeneous networks, employing machine learning to build and operate intelligent systems that adapt to workflows, and implementing responsive, low-latency communication services to interact with robotics systems in real time.

THE APPROACH

Artificial intelligence is critical to new robotics approaches. And rather than augmenting existing machine operations by bolting on AI-driven components, AI-first puts the intelligence at the forefront of the design process to perform at the core of a task. The focus is on building solutions that meld hardware and software to effectively use machine learning and AI-guided functions, performing operations with greater speed, reliability, security, and safety. As with digital transformation, the AI-first approach requires a rethinking of traditional design transforming architectures to satisfy the solution requirements over the full lifecycle, rather than just reorganizing and tinkering with existing solutions. The Wind Riverportfolio, with its multiple solutions and purpose-built embedded components, provides a flexible and agile foundation for meeting this need. Wind River solutions are elements of an extensive roadmap leading to the benefits and enhanced business value promised by todays industrial robotics.

A global leader in delivering software for intelligent connected systems, Wind River offers a comprehensive, end-to-end portfolio of solutions ideally suited to address the emerging needs of IoT, from the secure and managed intelligent devices at the edge, to the gateway, into the critical network infrastructure, and up into the cloud. Wind River technology is found in nearly 2 billion devices and is backed by world-class professional services and award-winning customer support.

Other Articles

How can industrial equipment companies keep pace with the push to economizeand modernize, to be more data-centric, and to provide safety and security in theface of constant innovation?

How can industrial robots gain new abilities that can increase their operational value while remaining safe and secure in a factory collaborating with humans?

With the accelerating growth of the Internet of Things (IoT), it is increasingly important to identify and implement safety-related systems for smart grids, connected vehicles, robotics, industrial control systems, smart factories, and more.

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Next-Generation Industrial Robotic Capabilities Advanced by Artificial Intelligence - Robotics Tomorrow

Ethical issues regarding robots raised in research – Fruitnet

With automation poised to transform agriculture around the world in the future, researchers fromMonash University in Melbourne, Australia have published what they say is the first-ever analysis of the ethical and policy issues raised by the use of robots in agriculture.

Agriculture employs around 2.5 per cent of the Australia's workforce and is a valuable export, however, according to Professor of Philosophy Robert Sparrow and Philosophy Research Fellow Mark Howard, little attention has been paid to the ethical and policy challenges that will arise as agriculture is increasingly automated.

Together they investigated the prospects for, and likely impacts and ethical and policy implications of, the use of robotics in agriculture in their paper Robots in agriculture: prospects, impacts, ethics, and policy, recently published in the journal, Precision Agriculture.

While there hasnt yet been widespread adoption of robots in farming due to a lack of technological breakthroughs, its anticipated there will be a gradual emergence of technologies for precision farming as well as the use of automation in food processing and packaging, explained Sparrow.

Already we are seeing the development and, increasingly, the adoption of GPS-enabled autonomous tractors and harvesters, robotic milking stations and dairies, robotic fruit and vegetable pickers, drones for rounding up livestock and crop-dusting and automation in slaughterhouses, food handling, processing and packaging all exist, among others.

The authors said with global and local food security facing profound challenges including climate change, soil depletion, loss of biodiversity, water scarcity and population growth, robots could help farmers confront these challenges by improving yield and productivity, while reducing levels of fertiliser and pesticide use, as well as water wastage.

However, they stated the widespread adoption of robots in farming could have negative consequences, including mismanagement of chemicals, soil compaction due to heavy robots and potential food wastage if consumers come to expect standardised or perfect produce.

This could also lead to further standardisation of breeding and creation via genetic modification of crops and livestock better suited to robotic harvest.

There is also a fear that smaller or struggling farms could miss out on the technology and be unable to keep up, leading to a centralisation of ownership in agriculture.

Theres a risk that robots could impact negatively on biodiversity and on the environmental sustainability of agriculture more generally, said Howard. Strong policy that encourages the development of robots that contribute to small-scale, local, and biodiverse agriculture and do not just promote existing unsustainable agricultural practices is a must."

On a positive note, the physically intense labour associated with agriculture work and its seasonal nature could see robots developed for tasks such as weeding, fruit and vegetable picking, food handling and packaging tasks, which could increase productivity and the amount of produce sent to market.

Labour costs could also be reduced, but this would of course mean a reduction in employment opportunities, particularly for those in rural areas where employment opportunities are scarcer.

Researchers said the industry also needed to consider the potential risk that malicious actors might try to hack, or launch cyber-attacks against, the automation on the farms of other nations.

The urgent need to move towards more sustainable agricultural practices while, at the same time, meeting an increased demand for agricultural produce globally, means that there is a strong ethical imperative to explore how robots might be used to advance these goals, noted Sparrow.

The scale of the current global environmental crisis, and the challenge it poses to food security, suggests that every option to try to improve the sustainability of agriculture should be considered.

Authors said a holistic approach to the uptake of robot technology in agriculture was required, firstly to address public concerns and the social and political impacts that may arise, as well as comprehensive consideration of the ethical and policy ramifications of their use.

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Ethical issues regarding robots raised in research - Fruitnet


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