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Development of a Fully Sensory-Integrated Humanoid Robot for Collaborative Human-Robot Teamwork

Samuel Neymotin

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Background and Research Foundation While artificial intelligence (AI) and machine learning (ML) have advanced significantly, most current robotic systems rely on large-scale data-driven neural networks that lack adaptability and efficiency. The human brain, in contrast, operates with significantly lower energy consumption while demonstrating superior cognitive flexibility. The proposed research builds on cutting-edge neurobiological learning mechanisms, aiming to bridge the gap between artificial and biological intelligence by developing neuromorphic computing frameworks.

Adapted from PDF pages 1.

artificial intelligencecomputingeducationneuroscienceengineeringproduct design

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