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Agentic AI for Drone & Robotic Swarming

Practical AI · 2025-07-15 · 46 min

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Topics in this episode

Neural networksComputer visionArtificial intelligenceMachine LearningDeep Learningchangelog

Episode notes

In this episode of Practical AI, Chris and Daniel explore the fascinating world of agentic AI for drone and robotic swarms, which is Chris's passion and professional focus. They unpack how autonomous vehicles (UxV), drones (UaV), and other autonomous multi-agent systems can collaborate without centralized control while exhibiting complex emergent behavior with agency and self-governance to accomplish a mission or shared goals. Chris and Dan delve into the role of AI real-time inference and edge computing to enable complex agentic multi-model autonomy, especially in challenging environments like disaster zones and remote industrial operations.

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