Teleoperation Data Gains an Action-Conditioned World Model
RynnWorld-Teleop combines action conditioning, depth awareness and skeletal structure for egocentric teleoperation prediction.
RynnWorld-Teleop combines action conditioning, depth awareness and skeletal structure for egocentric teleoperation prediction.
Symmetry-based trajectory augmentation improved training speed and success rates on real robot insertion, routing, and relocation tasks.
AGIBOT’s A3 was shown autonomously playing table tennis using real-time perception, decision-making and whole-body control.