A robot that performs well in a controlled simulation can struggle when real-world conditions don't match what it was trained to expect.

A research group on Thursday released Genesis, an artificial intelligence simulation engine designed to ease robot development. The group included more than 50 researchers from about a dozen ...

Sharpa presents new research demonstrating significant improvements in simulation methods for robot training, in collaboration with NVIDIA. This press release ...

What will become of the consequence when the next ability of a robot is not possible to preload in the laboratory, but it has ...

Add Yahoo as a preferred source to see more of our stories on Google. Researchers at MIT created an AI-powered simulator capable of generating limitless, realistic training data for robots. The system ...

The two companies announced an expanded partnership at a Cadence conference in Santa Clara on Wednesday. The goal: make robot training data more accurate so physical AI systems reach real-world ...

As Nvidia Corp. announced new robotics innovations at last week’s Conference on Robot Learning in South Korea, the company continues to extend its product line with new capabilities and enhancements. ...

Nvidia, Unitree, and Sharpa launched a humanoid robot reference platform to help academic researchers build and test robot ...

UBC students built an AI robot that learned air hockey entirely in simulation and beat human opponents without practice.

Dual Tracks Focus on Reasoning to Action and World Modeling AGIBOT WORLD CHALLENGE 2026 featured two tracks designed around ...