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 ...

The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements ...

Robots are learning to grasp objects with help from a new ultrasound wristband. Developed at MIT, this device captures human ...

MIT engineers built an ultrasound wristband that tracks 22 degrees of hand freedom with 120ms latency, enabling real-time robot hand and sign language control.

In its decades-long quest to mimic life, robotics has never had much trouble duplicating its brute force. Machines have long been capable of moving vehicles, assembling chips, and reaching the far ...

Continual robot learning is an emerging interdisciplinary field that integrates advances from machine learning, robotics, and cognitive science to build ...

Yen-Ling Kuo always wanted to understand how things worked. When she was growing up in Taiwan, reading the story of Michael ...

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...