Robotics podcasts

Ming-Yu Liu, NVIDIA vice president of research and head of the Cosmos Lab, joins Practical AI hosts Daniel Whitenack and Chris Benson to discuss AI systems that interact with the physical world. The conversation examines open models, world models and simulation as foundations for robotics and autonomous vehicles, and how research and deployment can advance physical AI. Published 1 October 2026; publisher runtime 47 minutes 19 seconds.

Hosted by Daniel Whitenack, Chris Benson

Andrew Glester explores how drones, robotics and machine learning support wildlife research and conservation. Blair Costelloe discusses the WildDrone and WildBotics networks and the Mara Elephant Project; Camille Rondeau Saint-Jean describes real-time animal monitoring; William Njoroge explains how Ol Pejeta Conservancy combines drones with established conservation methods. The episode considers population data, field constraints, regulation and collaboration across disciplines.

Hosted by Andrew Glester

Justin Johnson joins Sam Charrington to discuss world models and spatial artificial intelligence. Topics include representations of three-dimensional environments, simulation and the role of such models in enabling systems to reason about and act within the physical world.

Hosted by Sam Charrington

Paul Middlebrooks and Patryk Laurent examine how principles drawn from brains could help artificial intelligence learn from the real world. Laurent connects experience in neuroscience and AI with questions about perception, action, prediction and generalization. The conversation considers learning from continuous video, what embodied robotic systems reveal about intelligence, the relationship between language models and other forms of learning, and which biological details may matter when developing more capable AI.

Hosted by Paul Middlebrooks