What happened
Claire interviewed Rika Antonova of the University of Cambridge on the Robot Talk podcast about using AI to develop complementary robot hardware and algorithms.
Why it matters
Antonova's research on co-design, automated algorithm discovery, and data-efficient reinforcement learning focuses on integrating a robot's body and brain.
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Rika Antonova's path to academia includes a research Master's degree at the Robotics Institute at Carnegie Mellon University and a PhD at KTH Royal Institute of Technology. She also held a Computing Innovation Fellowship at Stanford University and worked as a senior software engineer at Google before her current role. The Robot Talk podcast, hosted by Claire, is a weekly show about robotics, artificial intelligence, and autonomous machines. This episode fits that format, presenting Antonova's perspective on how AI can help develop robot hardware and algorithms together.
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