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AI in the Physical World
By Antonis VozikisScience
AI in the Physical World episodes
- Can Robots Understand the World?
Can robots do more than follow instructions?
We’re joined by Sathya Kamesh Bhethanabhotla, a PhD candidate at the University of Amsterdam’s VIS Lab, whose research focuses on causal foundation models for robotics and embodied systems. Together, we explore how robots learn through interaction, why cause and effect matter, and what separates predicting the world from truly understanding it.
56 min
About AI in the Physical World
From the publisher's feed
A podcast exploring how artificial intelligence interacts with and transforms the physical world. Through conversations with PhD candidates, researchers, and professors, we cover robotics, embodied…
AI, autonomous systems, physics, chemistry, molecular science, materials, biology, energy and other fields where AI helps us understand, design, and control real-world systems.