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

For all their technological brilliance, from navigating distant planets to performing complex surgery, robots still struggle ...

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

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

A new breakthrough shows how robots can now integrate both sight and touch to handle objects with greater accuracy, similar to humans.

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

A new, AI-powered training method created by UC Berkeley researchers helps robots learn complex tasks with startling speed ...

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

They’re not in our homes yet, but it might be just a matter of time as tech companies bet big on humanoid robots.

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