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.

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.

Discover how reinforcement learning is transforming quadruped robots like Spot into agile, adaptable tools for real-world applications.

A new, AI-powered training method created by UC Berkeley researchers helps robots learn complex tasks with startling speed ...

Folding laundry, cooking shrimp, wiping surfaces, unloading shopping baskets—today’s AI-powered robots are learning to do tasks that for their predecessors would have been extremely difficult.

Building AI-powered robots that can learn how to interact with the physical world will enhance all forms of repetitive work.

Mars rovers have teams of human experts on Earth telling them what to do. But robots on lander missions to moons orbiting Saturn or Jupiter are too far away to receive timely commands from Earth ...

General-purpose robots that can help humans with whatever may come up won’t be achievable until robots can learn on the go.

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.

AI-based robots have the potential to deliver precise procedures, eliminate human errors and cut down the cost of a massage.

Mimicry learning could make commercial robots more adaptable The researcher’s more fluid training methods come amid a surge of commercial interest in humanoid robots.

New work has enabled robots to learn household chores by watching videos of people performing everyday tasks in their homes. Vision-Robotics Bridge, or VRB for short, uses the concept of ...