Agentic AI for Drone & Robotic Swarming

Agentic AI for Drone & Robotic Swarming

Author: Practical AI LLC July 15, 2025 Duration: 46:27

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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Chris's definition of Swarming:
Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.
© 2025 Chris Benson

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  • Outshift by Cisco: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.

There's a lot of noise out there about artificial intelligence, but cutting through the hype to find what's genuinely useful can be a challenge. That's the space where Practical AI operates. Hosted by the team at Practical AI LLC, this technology podcast moves beyond abstract theory to explore how AI, machine learning, and large language models are actually being applied right now. Each episode features unscripted conversations with a diverse mix of experts, developers, business leaders, and curious minds. You'll hear tangible discussions about implementing machine learning systems, the realities of MLOps, the evolution of neural networks, and the practical implications of breakthroughs in deep learning and GANs. The dialogue is grounded in real-world scenarios, focusing on how these technologies solve problems, drive productivity, and create value in accessible ways. Whether you're a professional building models, a business person integrating AI tools, or an enthusiast eager to understand the landscape, this podcast offers a clear, conversational entry point. It’s about making sense of a complex field through the lens of practical application, demystifying the concepts that are shaping our world without losing sight of how they work on the ground.
Author: Language: en-us Episodes: 100

Practical AI
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