dailyai.report

The Johns Hopkins Applied Physics Laboratory developed a scalable architecture to coordinate heterogeneous robotic teams using LLM-based agents. This system manages autonomy and adaptability across different hardware types. Researchers demonstrated the approach in physical environments to identify coordination bottlenecks. These findings provide a practical blueprint for scaling multi-robot agentic workflows in complex settings.