Inner rehearsal modeling for cognitive robotics

Jerome J. Braun; Karianne Bergen; Timothy J. Dasey

doi:10.1117/12.888000

4 August 2011 Inner rehearsal modeling for cognitive robotics

Jerome J. Braun, Karianne Bergen, Timothy J. Dasey

Author Affiliations +

Proceedings Volume 8064, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011; 80640A (2011) https://doi.org/10.1117/12.888000
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

This paper presents a biomimetic approach involving cognitive process modeling, for use in intelligent robot decisionmaking. The principle of inner rehearsal, a process believed to occur in human and animal cognition, involves internal rehearsing of actions prior to deciding on and executing an overt action, such as a motor action. The inner-rehearsal algorithmic approach we developed is posed and investigated in the context of a relatively complex cognitive task, an under-rubble search and rescue. The paper presents the approach developed, a synthetic environment which was also developed to enable its studies, and the results to date. The work reported here is part of a Cognitive Robotics effort in which we are currently engaged, focused on exploring techniques inspired by cognitive science and neuroscience insights, towards artificial cognition for robotics and autonomous systems.

Citation Download Citation

Jerome J. Braun, Karianne Bergen, and Timothy J. Dasey "Inner rehearsal modeling for cognitive robotics", Proc. SPIE 8064, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011, 80640A (4 August 2011); https://doi.org/10.1117/12.888000

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