A research team from the Gwangju Institute of Science and Technology (GIST) has unveiled an artificial intelligence (AI) technology that learns the sense of force humans feel when touching objects.

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 ...

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 ...

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

Valkyrie, a humanoid robot that was previously trained to assist NASA with Mars mission preparations, will soon return to the ...

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, ...

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

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 ...

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...