Shaoyang Wang

Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Models

Affordance grounding focuses on predicting the specific regions of objects that are associated with the actions to be performed by robots. It plays a vital role in the fields of human-robot interaction, human-object interaction, embodied manipulation, and embodied perception. Existing models often n