Shengsheng Yan

LeGO-MM: Learning Navigation for Goal-Oriented Mobile Manipulation Via Hierarchical Policy Distillation

Benefiting from mobility and dexterity, Mobile Manipulation (MM) systems are expected to assist humans with diverse tasks in everyday life. However, since MM tasks (e.g., tidying up a room) require learning multi-stage heterogeneous behaviors (e.g., picking, placing, and opening), existing Reinforce…