Researchers from University of California, Berkeley have developed a new robot learning technique that helps them master skills like 'Jenga whipping' or building furniture rapidly and accurately.

Training leap: A new AI method enables robots to transfer simulation-learned skills to real-world tasks with limited ...

A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a task through reinforcement learning. The method trains the ...

Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, ...

New research shows that programming robots to create their own teams and voluntarily wait for their teammates results in faster task completion, with the potential to improve manufacturing, ...

Learning may well be the most exciting frontier in the whole of robotics. The field itself dates back decades. The 80s, for instance, brought exciting breakthroughs in learning by demonstration, but a ...

Closing the sim gap: Aston University and University of Birmingham researchers tackled the 'sim-to-real gap' by using AI to generate varied training conditions. Reducing risk and cost: Robots can now ...

Researchers at Aston University have developed a new AI-based robot training approach aimed at reducing the long-standing ...

CAMBRIDGE, MA – A human clearing junk out of an attic can often guess the contents of a box simply by picking it up and giving it a shake, without the need to see what’s inside. Researchers from MIT, ...

Researchers have developed an AI training method that enables robots to transfer skills learned in simulation into real-world ...