Affordance RAG: Improving Mobile Manipulation with Embodied AI

This research paper introduces a novel approach, Affordance RAG, for enhancing mobile manipulation in robotics. The focus on affordance-aware embodied memory suggests a potential improvement in how robots interact with and understand their environment.

• •Addresses the challenge of mobile manipulation in robotics.
• •Employs a hierarchical multimodal retrieval system.
• •Utilizes affordance-aware embodied memory.