A whole-body control foundation model could help launch humanoid robots toward general-purpose capability, says Agility ...

The core of this research lies in the combination of Graph Neural Networks (GNN) and Reinforcement Learning to achieve coordinated control of up to eight robotic arms, enabling efficient and collision ...

A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...

This Chinese humanoid robot combines language understanding with a disturbance-resistant gait, pointing to the future of ...

Huang Tao spent his demanding school years at Cangnan Middle School, where he gained a solid foundation and broad vision. He later became an undergraduate at ShanghaiTech University and subsequently ...

Reinforcement learning—the fancy AI industry term for trial and error—was used to train it, including looking at videos of ...

The Apex Hand is a five-finger robotic system designed to replicate the dexterity and functionality of the human hand. It ...

Whether walking, executing tasks, or responding to natural language commands, Kepler's K2 "Bumblebee" demonstrates reliable ...

Conventional water quality surveillance relies heavily on manual sampling, localized sensors, and intermittent laboratory ...

Discover HITTER, a UC Berkeley humanoid robot that plays table tennis using AI-powered planning to outsmart human players.

Robots designed for neurorehabilitation, specifically for supporting arm and leg movement and motor relearning, are ...

For many children, the transition from learning to read to reading to learn is a crucial and sometimes nervewracking ...