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

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 ...

Reinforcement learning (RL) is transforming the way robots interact with the world. Unlike traditional programming or supervised learning, which depend on pre-defined rules or labeled datasets, RL ...

Kumar says those types of scenarios partly inspired the idea of the triple backflip. Engineers can control each individual ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...

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

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

Boston Dynamics releases a video showing off their quadruped robot's latest tricks, including a triple backflip.

Lean TR1 is an AI cleaning robot with self-evolving intelligence, designed for everyday deep and effortless cleaning, ...

Unlike supervised learning, reinforcement learning algorithms must observe, and that can take time, said UC Berkeley professor Ion Stoica at Transform.