A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

Add Yahoo as a preferred source to see more of our stories on Google. Researchers at MIT created an AI-powered simulator capable of generating limitless, realistic training data for robots. The system ...

Real-world AI for robots is hard and expensive to create. Or is it? Researchers at a UK university just showed us how to teach robots like humans ...

A new methodology is helping robots to move its arms autonomously. Researchers combined a type of observational learning with intercommunication between its limbs to boost robots’ flexibility. This ...

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ...

What started out as a response to labor shortages in poultry processing plants during the COVID-19 pandemic has turned into a robotics system that can learn by imitating human movements to handle ...

Sharpa presents new research demonstrating significant improvements in simulation methods for robot training, in collaboration with NVIDIA.

Biomimetic Intelligence and Robotics (BIROB) publishes original, high-quality, peer-reviewed theoretical and applied research achievements and review articles in the fields of robotics, biomimetics, ...

Galbot and researchers taught a robot how to play tennis without extensive training, and it could be a robots-in-sports game changer.