The Johns Hopkins Applied Physics Laboratory developed a scalable architecture to coordinate heterogeneous robotic teams using LLM-based agents. This system enables autonomous coordination and adaptability across different hardware types. Researchers demonstrated the approach in physical environments to validate agentic behaviors. The work provides a practical blueprint for managing multi-robot fleets via natural language reasoning.