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

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 ...

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

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

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

The motion control of humanoid robots is becoming the next hot research area for the application of reinforcement learning ...

Researchers created a deep reinforcement learning model that lets robots adapt to visual changes, maintain localization, and ...

Robot Drummer isn’t a robot itself; rather, it's a simulation that uses the G1 Unitree robot as a model to build a system ...

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