A new research initiative from NVIDIA has demonstrated an AI system capable of autonomously generating reward algorithms that ...

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 ...

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 ...

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 ...