LLM as A Robotic Brain: Unifying Egocentric Memory and Control

Understand

Embodied AI focuses on the study and development of intelligent systems that possess a physical or virtual embodiment (i.e.

• robots) and are able to dynamically interact with their environment.
• Memory and control are the two essential parts of an embodied system and usually require separate frameworks to model each of them.
• In this paper, we propose a novel and generalizable framework called LLM-Brain: using Large-scale Language Model as a robotic brain to unify egocentric memory and control.