A fleet of eight robots achieved a 99 percent success rate on complex grasping tasks. Researchers from Nvidia, CMU, and UC Berkeley used AI coding agents to automate the training process. This approach removes manual coding for physical maneuvers. It accelerates the deployment of precise robotic manipulation in real-world environments.