Neuromorphic Psychological Robotics: An Expanded Foundational Theory of Artificial Neurons, Embodied Behavior, and Human–Machine Psychology

This conceptual research article advances Neuromorphic Psychological Robotics (NPR) as a proposed interdisciplinary field integrating artificial neural systems, neuromorphic computing, robotics, and observable psychological interaction models. It introduces a falsifiable theoretical architecture for adaptive learning, behavioral regulation, decision-making, and human–robot interaction. The study examines the potential evolution from artificial general intelligence (AGI) toward hypothetical artificial superintelligence (ASI), identifies emerging research applications, and proposes experimental protocols for evaluating NPR systems. Established peer-reviewed findings are distinguished from original theoretical contributions, with explicit mathematical formulations and testable predictions. The article establishes a conceptual foundation for future NPR research without claiming experimental validation, demonstrated AGI or ASI capabilities, or original human-participant findings.