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 ...

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

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 ...

Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming every behavior by hand, modern robots are increasingly expected to learn ...

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

What started out as a response to labor shortages in poultry processing plants during the COVID-19 pandemic has turned into a ...

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, ...

Image courtesy by QUE.com Not long ago, the idea of a humanoid robot folding laundry, loading a dishwasher, or making a ...