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Explore neurorobotic design principles connecting the brain, body, and environment in this 54-minute lecture presented by Jeffrey L. Krichmar from UCI. Delve into an embodied approach to cognition inspired by Pfeifer and Bongard's work, grounded in neuroscience. Discover three categories of design principles for creating more naturalistic and successful robots: quick and appropriate reactions to events, lifelong learning and memory building, and weighing survival-crucial options. Examine topics such as embodiment, sensory-motor integration, degeneracy in neurorobots, adaptive behavior, context and schemas, and behavioral trade-offs. Gain insights into machine psychology, brain-based devices, and the challenges to complementary learning systems theory. Learn about neurobiological schema models for context awareness in robotics and explore the complexities of reward versus punishment, invigoration versus withdrawal, and risk-taking versus risk aversion in neurorobotic systems.
