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Johns Hopkins APL Develops Agentic AI for Robotic Teams
Johns Hopkins Applied Physics Laboratory presented agentic AI for collaborative robotic teams at a June 17, 2026 webinar, showcasing scalable architecture for multi-robot environments.
Johns Hopkins Applied Physics Laboratory (APL) announced a webinar on June 17, 2026, focusing on agentic AI for collaborative robotic teams. The event, hosted by APL's Intelligent Systems Center, will highlight recent advancements in enabling autonomy, coordination, and adaptability across heterogeneous robotic systems. The presentation will introduce a scalable architecture designed to support agentic behaviors in multi-robot environments, as well as lessons learned from ongoing research and development. According to APL, the webinar will include demonstrations of the approach running in hardware with a heterogeneous team of robots, providing practical insights into the application of LLM-based AI agents for robotic teams. The event will also outline key challenges encountered in developing agentic AI systems for collaborative robotics. *Source: [ieee](https://events.bizzabo.com/867156)*
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- Johns Hopkins Applied Physics Laboratory announced a webinar on June 17, 2026, focusing on agentic AI for collaborative robotic teams.
- The webinar will highlight a scalable architecture designed to support agentic behaviors in multi-robot environments.
- The event will include demonstrations of the approach running in hardware with a heterogeneous team of robots.
- APL's presentation will outline key challenges encountered in developing agentic AI systems for collaborative robotics.
- The webinar provides an introduction to LLM-based AI agents and their application to robotic teams.