Agentic AI for Drone & Robotic Swarming

In this episode of the Practical AI podcast, co-hosts Daniel Whitenack and Chris Benson delve into the concept of swarming in AI, particularly in the context of autonomous systems like drones and robots. They clarify the definition of swarming, distinguishing it from synchronized actions and centralized control, emphasizing the importance of independent, decentralized decision-making among numerous autonomous platforms working towards a unified goal. The discussion covers the history and evolution of swarming technology, its applications in disaster recovery and industrial settings, the unique AI challenges it presents, and the ethical considerations surrounding its deployment, including the need for human oversight to prevent unintended or harmful emergent behaviors. They also touch on resources for those interested in exploring the topic further, such as ROS, ROS2, and physical AI systems available for experimentation.