In August 2025, Shanghai Hong Yichang Industrial Co., Ltd. applied for a patent titled "Robot Decision-Making Method Based on Deep Reinforcement Learning." This move indicates that deep reinforcement ...

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 ...

Andrew Barto and Richard Sutton win the 2025 Turing Award for foundational work in reinforcement learning, powering ...

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

Unitree’s G1 robot endured repeated shoves in a YouTube “violence test,” stunning viewers with its ability to bounce back ...

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

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

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

KAIST announced on September 16 that it is gaining attention as a "cradle of Korean robotics" as various robot startups founded on campus have ...

Here is how hardware security has become a major consideration in motor-control subsystems serving robotics and e-mobility.