News
Simple ways to guide students to explore, experiment, and innovate together using robotics kits in the classroom.
The dream is robots that do not simply blindly follow orders, but learn and understand intuitively what to do. The reinforcement learning system for controlling an inverted pendulum.
4d
Tech Xplore on MSNRobots can now learn to use tools—just by watching us
Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming. But ...
Researchers developed a novel learning-based method so robots on extraterrestrial bodies can make decisions on their own about where and how to scoop up terrain samples.
PITTSBURGH — The Robotics Institute at Carnegie Mellon University in Pittsburgh is pioneering the future of robotics with innovative learning techniques. "Similar to how you train a dog, so we ...
The company has been using reinforcement learning to help fallen robots right themselves. Agility shut off Digit’s obstacle avoidance for the above video to force a fall.
Hosted on MSN6mon
Robots learn how to move by watching themselves
By watching their own motions with a camera, robots can teach themselves about the structure of their own bodies and how they move, a new study by researchers at Columbia Engineering now reveals ...
Purdue professor programs robots and AI to navigate the physical world more easily — partly by teaching robots to dance.
EAU CLAIRE, Wis. (WEAU) - It’s time for students to put some elbow grease into their robots if they want to win. The FIRST ...
Okay, so we want to get robots to a state where they’re useful and able to operate and mingle among humans and be an everyday fixture of everyday life.</p> <p>Those machines don’t have the ...
We've seen robot dogs run up hills with luggage, and help fight fires. Now, researchers at Switzerland's ETH Zurich are ...
OUTLOOK 26 October 2023 How robots can learn to follow a moral code Ethical artificial intelligence aims to impart human values on machine-learning systems.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results