Imagine you want to teach a robot to push an object on a table. The standard recipe in robot learning is to collect hundreds ...

Rice University and NASA have launched the world’s first open-source dynamic simulation platform for ...

Booster Robotics has unveiled the Booster T2, a humanoid robot platform designed for 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. ...

VIENNA, June 5, 2026 /PRNewswire/ -- AGIBOT, a leading embodied AI company, hosted AGIBOT WORLD CHALLENGE 2026 alongside ICRA 2026 in Vienna, bringing together 526 research and enterprise teams from ...

Researchers at NASA Johnson Space Center in Houston and Rice University have launched the iMETRO Dynamic Simulation — the world’s first open-source dynamic simulation environment to develop robots ...

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Simulating physics is central to robotics: before a robot ever moves in the real world, much of its learning, testing, and control happens in a virtual environment. But traditional simulators often ...

NVIDIA RoboLab is advancing robot policy benchmarking for generalist robot systems that follow language instructions.

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 ...