Controlling Behavior in Animals and Robots

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Explores Physically-Consistent Gaussian Mixture Models for robot control and trajectory learning.

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Explores data-driven approaches to improve robot design, focusing on compliance, soft materials, and complex interactions.

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Explores the overview, rationale, and strategies of simulation neuroscience, emphasizing the challenges of reconstructing and simulating the brain.