机器人CoRL 20252025
RoboMimic 2: Scalable Imitation Learning for Robot Manipulation
Ajay Mandlekar, Yifeng Zhu, Animesh Garg, Dieter FoxNVIDIA, Stanford University
摘要
We present RoboMimic 2, a scalable imitation learning framework for robot manipulation that supports diverse demonstration sources. RoboMimic 2 handles teleoperation data, human video demonstrations, and simulation rollouts within a unified learning pipeline, achieving robust performance across 100+ manipulation tasks.
imitation learningscalablediverse demonstrationsmanipulationunified pipeline