Johns Hopkins Applied Physics Laboratory organizes a free webinar on June 17, 2026, to present its advances in agentic artificial intelligence applied to robotic teams. The session addresses how to achieve autonomy, coordination, and adaptability in heterogeneous systems, a key challenge for collaborative robotics.
Scalable architecture and LLMs for multi-robot teams 🤖
The technical proposal focuses on a scalable architecture designed for agentic behaviors in environments with multiple robots. Researchers integrate large language models (LLMs) so that agents process instructions and make decisions in real time. Demonstrations with real hardware will show how these systems coordinate tasks without constant human intervention, overcoming communication limitations and dynamic environments.
When robots organize themselves better than your work team 😅
That robots learn to coordinate among themselves without fighting over the remote control is already an advancement. But that they also use language models to discuss who carries the heavy package sounds like an office meeting, only without cold coffee or arguments about who forgot to reply to the email. Maybe someday they'll give us advice on organizing the calendar.