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 ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of robotic arms to work together faster and smarter in busy industrial settings, ...

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

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

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 ...

A research article by scientists at the Nanjing University of Aeronautics and Astronautics developed a neural control algorithm to coordinate the adhesive toes and limbs of the climbing robot. The new ...

Researchers trained a quadruped robot named ANYmal to play rallies of up to ten shots. The dog-like machine weighs around 50 ...

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

Robots that can whack a golf ball down a fairway aren't exactly new, but building one that can play the nuanced short game is a more complex problem. Researchers at Paderborn University in Germany ...