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Robot Talk Episode 166: Rika Antonova on the co-evolution of robot hardware and algorithms

In Episode 166 of the Robot Talk podcast, Claire speaks with Rika Antonova, an associate professor at the University of Cambridge, about using artificial intelligence to co-design robot hardware and algorithms. Antonova's research interests include co-design, automated algorithm discovery, data-efficient reinforcement learning, active learning, and robotics. She previously worked at Google and completed research and postdoctoral work at Carnegie Mellon University, KTH, and Stanford University.

Part of the event: Robot Talk Episode 166: A Conversation with Rika Antonova on Robot Hardware-Software Co-Design

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