Johns Hopkins Develops Agentic AI For Robots | dailyai.report
23 stories from today
Agents
101d ago
Johns Hopkins Develops Agentic AI For Robots
The Johns Hopkins Applied Physics Laboratory built 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 identify practical failure points.
The Signal
The work provides a blueprint for deploying agentic workflows in multi-robot hardware systems.