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

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 ...

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

A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater ...

K2 “Bumblebee,” releasing what it describes as China’s first demonstration of a “hybrid-architecture disturbance-resistant” ...

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

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