Daily Archives: February 28, 2022

Editors note: This is part of a series of Teacher Spotlight articles about educators nominated by principals and assistant principals in and around Kingsport.

KINGSPORT A local STEM (science, technology, engineering and math) and chemistry teacher is the latest educator to be the focus of the Kingsport Times News Teacher Spotlight.

D-B EXCEL Principal Shanna Hensley nominated Antonia Adinolfi, who graduated from East Tennessee State University. She joined the DBE faculty in January 2016, the Spring semester, and two years later started the first underwater robotics team in the Volunteer State.

"She enjoys anything related to math, science, health or medicine," Hensley said, quoting from the DBE website section on Adinolfi. " The thing Ms. A enjoys most about DBE is her "kids" a.k.a. her students."

Hensley said Adinolfi "helped DBE develop into the school it is today, including receiving the STEM Designation from TSIN (Tennessee STEM Innovation Network) and the Tennessee Department of Education in 2019-2019."

In 2018, Adinolif started the first underwater robotics team in the state, the R'Matey's.

"That year they won the regional competition along with receiving the Engineering Award and Mission Award. The R'Matey's ended up making it to the international competition where they won the Sharkpedo Award, an award for innovation," Hensley said. "Only 11 teams received an award at the International competition."

In addition, Adinolif she also has helped develop the STEM Career and Technical Pathway, which received an Advanced score from the state Department of Education in 2019.

For the past two years, TSIN and the state Department of Education have held a statewide design challenge for all students. "Both years, Ms. Adinolfi's students have won 1st place," Hensley said.

Adinolfi also is the Lead Mentor teacher at DBE and assists in running the school's social media accounts.

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Founder of first underwater robotics team in Tenn. gets Teacher Spotlight - Johnson City Press (subscription)

The creative pace of solution seekers always seems to move faster than regulations and controls. In some ways that can be good, and in some ways, it can create unforeseen hazards when those solutions, such as robotics and automation, are introduced into a workplace.

It is no secret that automation has moved forward and that the pace of that expansion has significantly outpaced enforceable safety regulations. The current guidelines on the OSHA website were written in 1987, and the previous technical chapter was written in the early 2000s. In September of 2021, OSHA issued a new technical manual chapter titled, Industrial Robot Systems and Industrial Robot System Safety.

While a technical manual is not a regulation, it is the material OSHA uses to educate their duty officers and the basis from which an OSHA duty officer might choose to enforce 1910.147 (the Control of Hazardous Energy), Subpart O (Machine Guarding), or even the general duty clause to cite an employer.

It is important to make mention of the fact that 1910.147 and Subpart O are consistently in the top 10 most cited standards year after year, and in some industries, they frequent the top two or three. More importantly, the chapter helps employers and safety professionals develop systems to protect employees from a unique set of hazards. It breaks down some of the individual elements of moving a robotic system from manufacturing to actual integration, set up, and use in the workplace.

When moving to use of robotic automation, an essential consideration is how a robotic workstation can be integrated into the specific workplace and task it is meant for. Some companies choose to have a third party integrate and some may decide to use their own internal expertise.

Using a third party transfers some level of risk, providing the contract is written correctly with favorable insurance language. It is also possible for the employer to require the third party to conduct job hazard analysis outlines associated with the different jobs that will be performed in that specific workplace, with or around the robotic system. This may include operators, programmers (teachers), maintenance, cleaning, or others.

Each job task may require a different control mode, entail different hazards, and have different protections and sensors dedicated to the mode the robot must be in during specific tasks. They may also have different rules and requirements which apply to each specific task. The complicated nature of integration makes planning and careful detailed work specific to each job and task essential whether planning is conducted in house or with the assistance of a third party.

Part of the work and planning done during integration may also include choosing and installing barrier guards, interlocks, light curtains, or other sensors that do not always come with the robot but which must be integrated into the control system, and which are unique to that specific application and set up. Integration is made even more important by the fact that the safety device and control scheme decided on during integration is what the employer will rely on to protect their employees over time.

Whether collaborative (direct interaction with humans) or non-collaborative (no direct interaction with humans) robots are utilized determines what type of sensors, guarding, and programming will be combined to protect employees. Collaborative robot set ups will rely more on proximity sensors, speed controls, and programming to ensure employee safety. This does add to the complexity of the integration and programming and may increase the incentive to utilize a third party with extensive experience integrating collaborative robots and to seek favorable insurance terms whilst securing their services.

The differences in these two types of robots have resulted in two different ANSI standards being written. ANSI/RIA R15.06-2012 applies to non-collaborative robots and safety measures while RIA TR R15.606-2016 applies to collaborative robots.

Over time, guarding schemes, control systems, sensor type and position, end effectors (the robots implement for touching and working on the product) or other installer or manufacturer determined elements may need to change. As you consider whether to perform these changes on your own or tap the manufacturer and or installer to make those changes, it may help to consider some of the topics outlined in our previous blog on guarding and liability. An employer could take on manufacturer liability or nullify contractual protections if changes are made to the original manufacturer, or installer design, or set up.

For some functions and entry into the protected zone, hazardous energy controls (LOTO) must be utilized. In some cases, you can rely on equivalent protections, depending on several different factors including whether the entry meets all exceptions from 1910.147. Keeping in mind that the proper mode must be selected on the control panel for different protective mechanisms to function, you can see how it would be easy for an employee to enter a protected zone in the wrong mode and become injured. You must identify and control all these types of potential system hazards during implementation.

One scenario that might help explain why such careful planning is warranted is the following. Operators are not normally also programmers and so should not use teach pendants and teach modes. Teach mode selector knobs or controls are not locked out on most control panels that operators have access to.

If an operator is utilizing a non-collaborative robotic arm in the automatic mode and proper interlocked barrier guards are in place, then when the outside gate is opened the arm should stop immediately or come to a stop in just a few seconds. If the mode is changed to teach mode and the operator accesses the same restricted zone, it is possible for the robot to move and pin them.

Potentially, the only difference would be the position of the mode selector knob or controls effectively bypassing several protective safety sensors.

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Automation, Safety, and Robotic Systems | Woodruff Sawyer - JDSupra - JD Supra

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Global Motion Control Software in Robotics Market Is Thriving With Rising Latest Trends By 2027 | ABB, Teradyne Inc., YASKAWA ELECTRIC CORPORATION.,...

educational-robotics-market

Glob Market Reports offers an overarching research and analysis-based study on, Global Educational Robotics Market Report, History and Forecast 2016-2028, Breakdown Data by Companies, Key Regions, Types and Application. This report offers an insightful take on the drivers and restraints present in the market. Educational Robotics data reports also provide a 5 year pre-historic and forecast for the sector and include data on socio-economic data of global. Key stakeholders can consider statistics, tables & figures mentioned in this report for strategic planning which lead to success of the organization. It sheds light on strategic production, revenue, and consumption trends for players to improve sales and growth in the global Educational Robotics Market.

Some of the key manufacturers operating in this market include: Fischertechnik, Lego, Modular Robotics, Robotis, Innovation First International, Pitsco, Parallax, Inc., Evollve and More

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Here, it focuses on the recent developments, sales, market value, production, gross margin, and other significant factors of the business of the major players operating in the global Educational Robotics Market. Players can use the accurate market facts and figures and statistical studies provided in the report to understand the current and future growth of the global Educational Robotics market.

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Educational Robotics market competitive landscape offers data information and details by companies. Its provides a complete analysis and precise statistics on revenue by the major players participants for the period 2022-2028. The report also illustrates minute details in the Educational Robotics market governing micro and macroeconomic factors that seem to have a dominant and long-term impact, directing the course of popular trends in the global Educational Robotics market.

Market split by Type, can be divided into:Wheeled RobotHumanoid RobotMarket split by Application, can be divided into:Primary SchoolSecondary School

Regions Covered in the Global Educational Robotics Market:1. South America Educational Robotics Market Covers Colombia, Brazil, and Argentina.2. North America Educational Robotics Market Covers Canada, United States, and Mexico.3. Europe Educational Robotics Market Covers UK, France, Italy, Germany, and Russia.4. The Middle East and Africa Educational Robotics Market Covers UAE, Saudi Arabia, Egypt, Nigeria, and South Africa.5. Asia Pacific Educational Robotics Market Covers Korea, Japan, China, Southeast Asia, and India.Years Considered to Estimate the Market Size:History Year: 2015-2022Base Year: 2022Estimated Year: 2022Forecast Year: 2022-2028

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Educational Robotics Market Will Reflect Significant Growth Prospects of US$ Mn during 2022-2028 with Major Key Player: Fischertechnik, Lego, Modular...

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Artificial Intelligence and Robotics in Aerospace and Defense Industry Market to Witness Huge Growth by 2028 | General Electric, Airbus SE, Thales SA ...

Mollia Ltd. is a Hungarian technology startup developing adaptive and teachable software for the kinetic control of humanoid robots. The key novelty in their product is a linguistic style learning system that transcribes human movement in a uniform system of geometric building blocks. The company envisages that in the future, robots will be available for the average household. Still, while they wait for this to become a reality, they are developing a game in which regular people can teach robots various movements in the virtual space. If the game becomes successful, it will result in a broad set of motions that will eventually be transferable to actual robots for such applications as expeditions to Mars.

We talkedwith Mollia deputy CEODniel Vincz about the importance of robotics.

Although innovation is becoming increasingly valuable in any industry, digitalization, automation, robotics, and industry 4.0 solutions are not as prevalent among micro and small enterprises and are likelier to play an important role for medium and large enterprises. Do you agree with this statement?

My short answer is: yes. On the other hand, however, Mollia is not an industrial solution. Back in the seventies, people did not think that every household would have computers one day. Our team believes that humanoid robots will go through a similar path and will become common household items. Our goal is to develop adaptive and teachable software for the kinetic control of humanoid robots. The most important novelty in our technology is a linguistic style learning system that transcribes human movement in a uniform system of geometrical building blocks. This innovation enables us to improve robots general mobility. It also allows robots to learn new forms of movement and perform better in novel tasks. As a result, in the future, even regular people will be able to interact with robots and train them in different skills without any IT training.

You want to create a system in which robots can learn alongside humans, but at the same time, when a robot encounters a problem, it will be able to solve it within its area of competence. Is that correct?

Just think about it. Humans were able to rise above animals by becoming the sole bipedal mammal. It is a very complex task to walk on two legs. This directly correlates with how our brains evolved over several million years. It allowed us to use our brain capacity for other things such as communication. The link between communication and humans becoming bipedal is deeply ingrained in humanity. Billions of people on the planet walk on two legs, yet we do not use this ability, this common knowledge, to teach robots to do the same. Recognizing this was our starting point when we began developing our technology.

We are currently operating with 36 degrees of freedom, which refers to the number of ways the robot can move its parts. Users can equip robots with freely determined movements characteristics, which will be saved in the total range of the characters kinetic activity. This means the robots autonomous movement may be influenced externally, which results in a kind of true cooperation between man and machine. This is similar to how a horse and its rider communicate with each other. In their natural state, horses usually do not jump over 150cm hurdles, so a human must cooperate with the animal and try to get it to complete the task because the animal has a will of its own. The horse must be gently guided to do what the rider wants it to do. The horse and the rider must understand and be comfortable with each other in order to perform such a task. This is basically what we are doing as well: we are creating an external interface through which the human and the robot are able to cooperate. Currently, this interface consists of a mouse and keyboard as this can be found in almost every household. The long-term goal, however, is to have a device worn on the head that senses brainwaves and use it to teach movements to robots. I know this sounds very utopian, but I believe we will achieve this within the foreseeable future.

Why are we developing humanoid robots?

Mostly because this way, robots will be able to use the same tools as humans and vice versa. Furthermore, humans are likelier to positively relate to humanoid robots than robots with other forms, as this is the form we are most used to. Just think about the reactions people had to the Boston Dynamics videos, where the boxes were knocked out of the robots hands multiple times.

Where is the robot being developed?

Currently, development takes place in a Bullet Physics based virtual environment. This is a physical environment where we try to simulate the Earths gravity. This has both advantages and disadvantages. On one hand, we receive accurate feedback from everything and we know where the robot steps and the force with which it steps. On the other hand, we arent able to test its movement in the real world, like we would be able to with a physical robot. We are continuously working on developing the latter.

Babu is able to adapt to certain novel characteristics such as a new body type, but can also learn tasks on its own such as walking in heels. Furthermore, it is capable of handling objects with different weights in physical space. This high-level adaptive capacity is essential to enable it to interact with users. The goal for the robot is to be able to follow real-time kinetic instructions via input devices (mouse, keyboard, VR, movement tracking devices, etc.) while keeping key elements of its own movement that are necessary for maintaining balance. Humans and robots must be able to cooperate. This is training, which means the process is slow but will produce exciting results. Furthermore, we would like to be able to transfer knowledge from a robot that a user has finished teaching, to another robot, which will allow the new robot to learn new movements from a pre-existing level of knowledge, and thus improve even more.

As Ive mentioned before, the long-term goal is for the robot to reach households where it will be able to complete tasks that are appropriate for its set of movements. Robots trained in this waymay also perform activities that could be dangerous to humans, such as mining and deep-sea welding. Basically, you have to look at the whole thing from a positive perspective. Robots shouldnt be feared.

What are your short-term plans?

Before we are able to use our technology to control real physical robots, we need to create an extensive set of movements. In order to achieve this, we are developing a video game in which you can teach the robot various moves in a virtual world. This is very exciting because we are able to involve a multitude of people in robotics development, which has yet to be done. Just think about it: currently, robotics development is very resource intensive and mostly only scientists with PhDs can take part in it, whereas there are nearly eight billion people on the planet who have kinetic skills that can be used to teach robots. The best analogy is perhaps Wikipedia, which allows anyone to share his or her knowledge with others. In essence, we are trying to build the Wikipedia of robot movement.

If we get to the point of having a sufficient database of movement sets in virtual space, then we will be able to transfer these movements to physical robots, which will be able to implement more complex movements. Such a robot could be used, for instance, during an expedition to Mars, where the robot would be able to establish a camp before humans arrive.

What are your target markets?

We are open towards both Hungarian and foreign video game developers. We had meetings at the university where the developers of Angry Birds started, and based on their feedback, they see great potential in Babu. We are also in negotiations with a Slovak video game development company regarding the shared development of a video game. We believe that in the long term, anyone can become interested in using our product, but at the moment, we are primarily focusing on the North American market. One reason for this is our investor, Vespucci Partners, with whom we plan on reaching the Series A investment circle, which we would use to finance the next seven years. We are primarily negotiating with American companies regarding this, as the robotics industry is powered by the US and China anyway.

How well could a Hungarian startup compete in these two markets?

Its a little too early to come to conclusions, but we havent really seen any companies that deal with anything similar. It would be a potential opportunity for us to cooperate with Tesla. This August, Elon Musk showcased the Tesla Bot, otherwise known as Optimus, which is a general-use humanoid robot developed by Tesla, Inc. with an exceptional hardware solution for which we could provide the software. This summer, I received a scholarship to Draper Universitys five-week summer program in Silicon Valley. The programs founder is Tim Draper, an iconic figure in the Silicon Valley venture capital scene, so an introduction to Elon Musk is not such a farfetched idea.

Mollia Intro Video from Mollia on Vimeo.

How do you think robots will feature in the lives of average Hungarians and what role will they have in the future?

At the moment, robots arent that widespread in Hungarian households; however, in industrial settings, robotics solutions are quite common. To approach this subject from a more realistic perspective, we are also cooperating with the Antal Bejczy Center for Intelligent Robotics of buda University, where in addition to the latest trends, we pay close attention to what we could incorporate from the robots movements there. The goal of the center is to help the scientific and technological development of robotics primarily for service applications. It is an independent platform which widely leans on the most important partner institutes and companies in both Europe and North America. We believe that technology and thus robotics will become an important part of the average Hungarians life in the future.

What does Mollias vision of the future look like?

Our most ambitious plan is to implement our algorithms in the physical world to control real humanoid robots. One of the most important potential technological changes during the next decade could be robotics achievements transferring from the showroom to our homes, thus becoming a part of everyday life. We want Babu to become an important part of this process. We arent solely focused on robotics, however. We have several exciting ideas about how our team at Mollia could come up with something new in the area of NFTs, esports and even HealthTech.

I must mention here that we are constantly looking for new domestic talent in mathematics, software development, design, marketing, and robotics, so if you feel you are up for it, please do not hesitate to contact us!

Link:

'Humans and robots need to cooperate' - BBJ - Budapest Business Journal