China’s new AI framework helps humanoid robots learn tennis using imperfect human motion, boosting speed, precision, and agility.

Robots are increasingly learning new skills by watching people. From folding laundry to handling food, many real-world, ...

Building a robot that can reliably perceive, plan, and act in the real world is hard—especially when conditions change minute ...

Roboticists have struggled to get humanoid robots to effectively replicate athletic sports skills, such as those needed for tennis. These sports require highly dynamic motion, quick reactions, and ...

Aptima reached the Army xTechHumanoid finals with a fully autonomous locomotion system that helps humanoid robots navigate ...

Abstract: In recent years, with the widespread application of robotics, designing efficient and generalizable robot control algorithms has become a critical research topic. Meta reinforcement learning ...

MATLAB courses explain programming, simulations, and data analysis used in engineering and research work.Online platforms and ...

ABB Robotics integrates NVIDIA Omniverse libraries into RobotStudio to deliver physical AI for industry, closing the gap from virtual training to real-world deployment with up to 99% accuracy.

Abstract: This research focuses on the development and implementation of a physical robotic arm controlled using ROS2 and powered by an Arduino microcontroller. The project integrates advanced robotic ...

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

Researchers have built new photonic computing chips that allow neural networks to learn using light instead of electronics. The technology could improve autonomous vehicles and help robots learn ...