Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching

DRIS replaces single-instance-per-episode domain randomization with simultaneous propagation of a randomized instance set, improving sim-to-real transfer for dexterous manipulation tasks like reactive catching. Addresses the limited dynamics coverage of conventional DR without requiring real-world data collection.