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 ...

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

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 ...

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

How Does the Multimodal Large Model Drive Robot Control? According to the patent abstract, the core of this technology lies in using multimodal language models to understand environmental information ...

In the company's latest video, a humanoid robot can be seen walking and crouching while it performs various tasks.

Dive into the revolutionary world of AI Robotics and Machine Learning, where Autonomous Robots and cutting-edge Robotics ...

An AI tool called RoboBallet could transform manufacturing by letting robotic arms plan movements together at scale, boosting ...

The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

Unitree Robotics has launched the R1, a remarkable humanoid robot capable of walking, running, dancing, cartwheeling, and even kung-fu kicks. It can also respond to voice commands and hold basic ...