Johns Hopkins APL: Agentic AI for Robot Teams

The Johns Hopkins Applied Physics Laboratory is working to advance agentic AI for collaborative robotic teams. Their efforts focus on enabling autonomy, coordination, and adaptability across different systems. They've introduced a scalable architecture to support agentic behaviors in environments with multiple robots. This work involves applying large language model-based AI agents to robotic teams. They are even demonstrating this approach with actual hardware and diverse robot teams. The presentation shares key challenges and practical lessons learned from their ongoing research and development. The bottom line: this research could lead to more intelligent and adaptable robot teams in the future.