Manipulation

Dynamic Grasping

Dynamic Grasping is the grasping of objects while the object, the robot, or both are in motion, such as picking items from a moving conveyor, catching thrown objects, or grasping from a moving mobile base. It couples real-time object pose prediction with reactive trajectory generation so the gripper intercepts the object within its closing window. Demonstrations include high-speed robot catching of balls and bottles using motion-capture-based prediction.

Why it matters for physical AI

Conveyor picking and mobile manipulation both demand grasping under motion, and the tight perception-to-action latency budgets involved stress-test the reactive capabilities of learned visuomotor policies.