Atlas, Boston Dynamics’ dancing humanoid, can now use a single model for walking and grasping—a significant step toward ...

Teaching a robot new skills used to require coding expertise. But a new generation of robots could potentially learn from just about anyone.

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

Robots come in a vast array of shapes and sizes. By definition, they're machines that perform automatic tasks and can be operated by humans, but sometimes work autonomously—without human help.

The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

The National Intellectual Property Administration recently disclosed a patent applied for by Beijing Qida Song Technology Co.

Experts say robots can’t catch AI yet due to massive data scarcity and hardware liftoff. Biological brains and microLED chips ...

This new self-learning robotic arm could be the future of robotic butlers, and it could even teach other robots the things it learns.

MIT this week showcased a new model for training robots. Rather than the standard set of focused data used to teach robots new tasks, the method goes big, ...

“Eureka is a first step toward developing new algorithms that integrate generative and reinforcement learning methods to solve hard tasks.” ...