Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand
Dexterous in-hand manipulation poses significant challenges for a multi-fingered anthropomorphic hand due to the high-dimensional state and action spaces, as well as the intricate contact patterns between the fingers and objects. Although deep reinforcement learning has made moderate progress and demonstrated its strong potential for manipulation, it faces certain challenges, …