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Frontiers in Emerging Engineering & Technologies

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Advancements in Cognitive Architectures for Autonomous Robots: Bridging the Gap to Human-Level Intelligence

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Prof. Hiroshi Kormushev 1
4 Department of Robotics, University of Tokyo, Japan

Abstract

This article provides a comprehensive analysis of the role of cognitive architectures in enabling human-level autonomy for autonomous robots. Cognitive architectures aim to replicate human-like processes in machines, facilitating more adaptable, efficient, and intelligent robotic systems. This study examines the theoretical foundations of cognitive architectures, their application in robotic systems, and the challenges faced in achieving human-level intelligence. We also explore various models and frameworks such as SOAR, ACT-R, and LIDA, which have been used to design and improve the cognitive capabilities of robots. Furthermore, we discuss the potential for achieving autonomous robots that can perform complex, unstructured tasks in dynamic environments, as well as the ethical and societal implications of this technological advancement.

How to Cite

Prof. Hiroshi Kormushev. (2025). Advancements in Cognitive Architectures for Autonomous Robots: Bridging the Gap to Human-Level Intelligence. Frontiers in Emerging Engineering & Technologies, 2(04), 7–14. Retrieved from https://irjernet.com/index.php/feet/article/view/115
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