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 ...

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 ...

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 ...

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, ...

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 ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...