REMAC: Self-Reflective and Self-Evolving Multi-Agent Collaboration for Long-Horizon Robot Manipulation
The episode discusses REMAC, a framework for self-reflective and self-evolving multi-agent collaboration for long-horizon robot manipulation. The hosts explain how REMAC uses pre-condition and post-condition checks to improve planning, learn from past mistakes through reflection databases, and enable intelligent parallel action between multiple robots.