Neurorobotic Design Principles: Connecting Brain, Body and Environment

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.

Syllabus

Welcome to the Al Seminar Series
Power of the Neurorobotic Approach
Neurorobot Research Areas
Machine Psychology on a Brain-Based Device
Neurorobotic Design Principles I • Embodiment.
Mimicking the Brain's Cheap Design
Sensory-Motor Integration
Degeneracy in Neurorobots •No two neurorobots are alike!
Neurorobotic Design Principles II - Adaptive Behavior, a Change for the Better
Context and Schemas
Schemas and Rapid Memory Consolidation Challeng Complementary Learning Systems Theory
Neurobiological Schema Model for Contex Awareness in Robotics
Neurorobotic Design Principles III - Behavioral Tradeoffs Because Life is Full of Compromises
Reward versus Punishment Invigorated versus Withdrawn •Rewards
Neurorobotic Behavioral Trade-Offs: -Invigorated vs. Withdrawn -Risk taking vs. Risk Averse -Exploration vs. Exploitation