The research team co-developed the 'ManipForce' hand-force measurement device and the 'Frequency-aware Modality-Temporal (FMT)' sensory integration AI model.

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 human clearing junk out of an attic can often guess the contents of a box simply by picking it up and giving it a shake, without the need to see what's inside. Researchers from MIT, Amazon Robotics, ...

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, ...

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

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 ...