NVIDIA is positioning itself at the center of the robotics development ecosystem through multiple partnerships.

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 ...

This ain't teleoperation. Chinese researchers have tested a new, much quicker and easier method of teaching robots to play ...

Walt Disney Imagineering sent their self-walking Olaf on a field trip to NVIDIA GTC, the world's largest AI conference, where ...

Taiwan robot Techman Robot introduced its next-generation humanoid robot, TM Xplore I, at the ...

Galbot Robotics has released a video on its official X handle on March 16 ...

NUS researchers have developed a platform that lets lab-grown muscle tissues train themselves to record-breaking strength, with no external stimulation required. By mechanically coupling two muscle ...

He was able to grasp, move, and release objects simply by imagining himself performing the actions. The device, known as a ...

Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, healthcare, and logistics.

Pioneering studies suggested that motor information in the cortex is coded through the combined actions of large populations of widely tuned neurons rather than by small numbers of highly tuned ...

The new capability lets scientists simulate and visually inspect automated experiments before robots run them.

A team led by Northwestern University’s Sam Kriegman built an AI system that designed a walking robot from scratch in seconds, then manufactured the result and watched it move across a lab bench. The ...