Robots trained entirely in simulation are beginning to perform more reliably in the real ...

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

AGIBOT, a leading embodied AI company, hosted AGIBOT WORLD CHALLENGE 2026 alongside ICRA 2026 in Vienna, bringing together ...

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

To address this challenge, Daimon Robotics has launched RobOmni at ICRA2026, the first omni-modal evaluation benchmark ...

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 ...

The promise of physical AI is that engineers will be able to program physical agents the same way they do digital ones. We’re not there yet. Robotics is still held back by a paucity of data from ...

AGIBOT said the industry is moving beyond simulation scores toward closed-loop testing on real robots with real tasks.

A trio of students from the University of British Columbia has put their expertise to ...

Collaboration combines SKAI Intelligence's industrial synthetic-data pipeline with Korea's leading AI research institution; ...

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

Summarizing the Company’s commercialization path, Dr. Yang underscored the value of an open ecosystem: “In the era of AI computing, the commercial competitive advantage is not just silicon performance ...