Study hard enough, kids, and maybe one day you'll grow up to be a professional robot fighter. A few years ago, Boston Dynamics set the standard for the field by having people wielding hockey sticks try to keep Spot the quadrupedal robot from opening a door. Previously, in 2015, the far-out federal research agency Darpa hosted a challenge in which it forced clumsy humanoid robots to embarrass themselves on an obstacle course way outside the machines' league.
But there's got to be a better way. Imagine, if you will, a soccer team. Midfielders, strikers, and a goalkeeper all do generally soccer-esque things like running and kicking, but each position has its own specialized skills that make it unique. The goalkeeper, for instance, is the only person on the field who can grab the ball with their hands without getting yelled at.
Not to change the topic here:
Dancing Boston Dynamics Robots Show Off Their Sweet Moves | Smart News | Smithsonian
In its latest display of engineering excellence, Boston Dynamics released a video of its Atlas, Spot and Handle robots boogieing to “Do You Love Me?” by the Contours, Stan Horaczek reports for Popular Science .
The video—equal parts fun, mesmerizing and uncanny—gives the impression that the machines saw an engineer do “the robot” and felt compelled to make a point: these robots have rhythm. In reality, humans had to write the code for each sway, swivel and squat in order to create the expertly choreographed demonstration.
Self-Driving Cars And Asimov's Three Laws About Robots
Perhaps one of the most well-known facets about robots is the legendary set of three rules proffered by writer Isaac Asimov. His science fiction tale entitled The Three Laws was published in 1942 and has seemingly been unstoppable in terms of ongoing interest and embrace.
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1) A robot may not injure a human being or, through inaction, allow a human being to come to harm,
2) A robot must obey the orders given it by human beings except where such orders would conflict with the First Law,
AMP Robotics raises $55 million for AI that picks and sorts recyclables | VentureBeat
AMP Robotics , a Denver, Colorado-based startup creating robotic systems that sort recyclable material, this morning announced it has closed a $55 million series B funding round led by XN. The startup says it will use the funds to scale its business operations and develop AI product applications that integrate into materials recovery facilities to increase recycling rates for its customers.
According to the Environmental Protection Agency, the U.S. generated about 262 million tons of municipal waste in 2015 alone. While over 91 million tons were recycled and composted, automation promises to drive the total higher as the pandemic forces businesses to suspend recycling operations due to concerns for worker safety. That's why the waste-sorting robotics market is set to reach $12.26 billion by 2024, increasing at a compound annual growth rate of 16.52%.
Quite a lot has been going on:
A robotic revolution for urban nature | EurekAlert! Science News
This work was funded by the Engineering and Physical Sciences Research Council (EPSRC). Notes to editors For interview requests please contact press officer Simon Moore in the University of Leeds press office on s.i.moore@leeds.ac.uk The paper is titled 'A global horizon scan of the future impacts of robotics and autonomous systems on urban ecosystems' and is published today in Nature Ecology & Evolution. The paper will be available online here: https:/ / www. nature.
Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.
This robot dog learned how to get up after being knocked down | Engadget
At some point when you were a toddler, you learned how to pick yourself up after falling and eventually how to walk on your own two feet. You likely had encouragement from your parents, but for the most part, you learned through trial and error. That’s not how robots like Spot and Atlas from Boston Dynamics learn to walk and dance . They’re meticulously coded to tackle the tasks we throw at them.
In a recent paper published in the journal Science Robotics , they detailed an AI reinforcement approach they used to allow their dog-like robot, Jueying, to learn how to walk and recover from falls on its own. The team told Wired they first trained software that could guide a virtual version of the robot. It consisted of eight AI “experts” that they trained to master a specific skill. For instance, one became fluent in walking, while another learned how to balance.
Robots in the Air and on the Water Could Improve Shellfish Farming | College of Agriculture and
Aquaculture is the world's fastest-growing animal-protein production sector, and the use of robots in many industries is growing quickly, as well. At North Carolina State University, researchers are finding ways to build on these trends to increase marine aquaculture yields, ensure food safety and decrease the pressure to harvest wild seafood.
It's a step that could help the state on its way to a proposed goal of growing shellfish farming into a $100-million-a-year industry by 2030.
The Fallacy of Fencelessness and Why Cage Free is Best - Robotics Business Review
In recent months, flexibility in manufacturing has been top of mind. To keep pace with market needs, manufacturing must become more flexible to continuously adapt to change, especially during a crisis like the current one. Although the press and industry have picked up the topic recently, the need for flexibility in factories has been an ongoing concern and issue for manufacturing engineers for quite some time .
A powerful way to introduce flexibility in factories is by simultaneously taking full advantage of robots, which are the most flexible machines in a factory, and humans, which are the most flexible resource. But humans must be kept separate from robots with fences or other guarding equipment to ensure worker safety. This separation introduces frictions and inefficiencies that limit how manufacturing processes can respond to rapidly changing product and market conditions.
Happening on Twitter
With AI "coaching," this robot dog is more adaptive—capable of improvising new skills on the fly and able to expect… https://t.co/0WnNrOLhfb WIRED (from San Francisco/New York) Tue Jan 05 16:53:11 +0000 2021
Kick over this robot and it'll quickly right itself—not because someone told it how, but because it taught itself t… https://t.co/n58zffgmQN WIREDScience (from San Francisco, California) Tue Jan 05 20:58:29 +0000 2021
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