GoalDex: Learning Image-Goal-Conditioned Policies for Dexterous In-Hand Manipulation
Dexterous in-hand manipulation is commonly formulated around explicit object pose estimation, yet reliable pose tracking is challenging under severe hand-object occlusions and often requires object-specific supervision. This dependence creates a bottleneck between perception and control that can limit robustness and sc...