Episode Details
Back to EpisodesSim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids
Published 2 months, 2 weeks ago
Description
Trains perception-driven dexterous manipulation policies in simulation for zero-shot real-world transfer on humanoid robots. Focuses on bridging the sim-to-real gap for vision-based dexterous tasks.