A whole-body control foundation model could help launch humanoid robots toward general-purpose capability, says Agility ...

Researchers have trained a quadruped robot named ANYmal to play badminton rallies, to return shuttlecocks with surprising ...

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

Scientists have trained the ANYmal quadruped robot to play badminton, and it's good enough to complete in a 10-shot rally ...

Aiming to stay ahead in the robotics game, Tesla is constantly fine-tuning the new generation of its general-purpose, bi-pedal, humanoid robot Optimus. The Optimus can now navigate uneven terrain with ...

Recently, Tianjin Yingjie Technology Development Co., Ltd. announced the application for a patent titled "An Optimization Method for Multi-Robot Collaborative Task Scheduling Based on Graph Neural ...

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 ...

But I would argue that the relatively dull tasks Atlas is working on now, moving car parts and totes and whatnot, are just as ...

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