Adaptive Curriculum Domain Randomization for Robotic Grasping: A Performance-Driven Approach
Most robotic grasping policies fail in the real world because simulation training uses fixed difficulty. Too hard early on destabilizes learning; too easy later limits generalization. We propose ACDR—difficulty adjusts based on success rate. Result: 74.5% avg success vs. 33.2% (+41.3 pp).
