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 ...

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

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

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 ...

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

This humanoid robot called "Alter" is powered entirely by a neural network that gives it the ability to move by itself. Yes, it is as creepy -- and as fascinating -- as it sounds.

The company said the neural network approach makes the teaching of motion to a humanoid robot simpler and faster. Traditional approaches have required large amounts of software to be written to ...

Insects rapidly transition between walking gaits, in response to external stimuli. Scientists have now created a robot that does the same thing, utilizing an artificial neural network – the tech ...

[Sean Hodgins]’s calls his three-part video series an Arduino Neural Network Robot but we’d rather call it an enjoyable series on prototyping, designing a board with surface mount parts… ...

Deep and shallow neural network models are first trained offline using state-of-the-art machine learning tools and then transferred onto general purpose microcontrollers that are co-located with a ...