{"slug": "agentic-ai-for-robot-teams", "title": "Agentic AI for Robot Teams", "summary": "The Johns Hopkins Applied Physics Laboratory is developing agentic AI to enhance autonomy, coordination, and adaptability in collaborative robotic teams. Their approach uses a scalable architecture to support agentic behaviors across heterogeneous multi-robot systems. The presentation outlines key challenges and practical lessons learned from this ongoing research.", "body_md": "This presentation highlights recent efforts at the Johns Hopkins Applied Physics Laboratory to advance agentic AI for collaborative robotic teams. It begins by framing the core challenges of enabling autonomy, coordination, and adaptability across heterogeneous systems, then introduces a scalable architecture designed to support agentic behaviors in multi-robot environments. The talk concludes with key challenges encountered and practical lessons learned from ongoing research and development.\nKey learnings", "url": "https://wpnews.pro/news/agentic-ai-for-robot-teams", "canonical_source": "https://events.bizzabo.com/867156", "published_at": "2026-05-18 10:00:01+00:00", "updated_at": "2026-05-21 12:44:08.724822+00:00", "lang": "en", "topics": ["artificial-intelligence", "robotics", "research"], "entities": ["Johns Hopkins Applied Physics Laboratory"], "alternates": {"html": "https://wpnews.pro/news/agentic-ai-for-robot-teams", "markdown": "https://wpnews.pro/news/agentic-ai-for-robot-teams.md", "text": "https://wpnews.pro/news/agentic-ai-for-robot-teams.txt", "jsonld": "https://wpnews.pro/news/agentic-ai-for-robot-teams.jsonld"}}