Physical Intelligence released S1, a robotic foundation model built for in-context learning that can execute unseen manipulation tasks from a single video prompt without fine-tuning, with horizons up …
Nvidia's GEAR lab, in collaboration with Carnegie Mellon University and UC Berkeley, developed the ENPIRE framework that enables AI coding agents to autonomously train fleets of physical robots on pre…
NVIDIA GEAR lab researchers developed ENPIRE, an agent harness framework that enables AI coding agents to autonomously train robots to perform tasks like cutting zip-ties and installing GPUs. The syst…
Nvidia demonstrated an agentic robotics system called ENPIRE that taught fleets of robots to perform dexterous tasks, including handing a GPU to another arm and positioning it over a motherboard. The …