229. Teaching Robots to Play Badminton

The Next Byte Podcast · 23 Sept 2025 · 15m

What this episode covers

The hosts discuss ETH Zurich's development of a quadruped robot playing badminton, highlighting the integration of Anymal robots and DINA robotic arms. They explain how this system uses a single reinforcement learning control policy to coordinate leg movement and arm swinging in real-time, stress-testing perception and planning capabilities. The episode connects this research to practical applications in surgical robotics, search and rescue, and collaborative manufacturing (cobots), emphasizing the transition from academic theory to industrial practice.

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The summary, chapters and topics are generated from the episode’s audio by this directory, not written by The Next Byte Podcast. The episode itself belongs to its publisher.