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 ...

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

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, ...

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, ...

Flipping classroom learning, Yudu Robotics, a robotics-ed company, is using exploratory methods and programmable hardware to quietly build career-focused ...

In context: Teaching robots new skills has traditionally been slow and painstaking, requiring hours of step-by-step demonstrations for even the simplest tasks. If a robot encountered something ...

If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...

Valkyrie, a humanoid robot that was previously trained to assist NASA with Mars mission preparations, will soon return to the United States after spending nearly ten years in Edinburgh working with ...