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Proceedings Paper

Inner rehearsal modeling for cognitive robotics
Author(s): Jerome J. Braun; Karianne Bergen; Timothy J. Dasey
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Paper 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.

Paper Details

Date Published: 4 August 2011
PDF: 12 pages
Proc. SPIE 8064, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011, 80640A (4 August 2011); doi: 10.1117/12.888000
Show Author Affiliations
Jerome J. Braun, MIT Lincoln Lab. (United States)
Karianne Bergen, MIT Lincoln Lab. (United States)
Timothy J. Dasey, MIT Lincoln Lab. (United States)

Published in SPIE Proceedings Vol. 8064:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011
Jerome J. Braun, Editor(s)

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