Designing a Robot Cognitive Architecture with Concurrency and Active Perception
Keywords
ADAPT (cognitive architecture), Robot cognition, Unified theory of robot cognition, Concurrency in cognitive architectures, Active perception in robotics
Abstract
We are implementing ADAPT, a cognitive architecture for a Pioneer mobile robot, to give the robot the full range of cognitive abilities including perception, use of natural language, learning and the ability to solve complex problems. Our perspective is that an architecture based on a unified theory of robot cognition has the best chance of attaining human-level performance. Existing work in cognitive modeling has accomplished much in the construction of such unified cognitive architectures in areas other than robotics; however, there are major respects in which these architectures are inadequate for robot cognition. This paper examines two major inadequacies of current cognitive architectures for robotics: the absence of support for true concurrency and for active perception. ADAPT models the world as a network of concurrent processes, and models perception as problem solving. ADAPT integrates three theories: the theory of cognition embodied in the Soar system, the RS formal model of concurrent sensorimotor activity and an algebraic theory of decomposition and reformulation. These three component theories have been implemented and tested separately and their integration is currently underway. This paper describes these components and the plan for their integration.
Original Publication Citation
Paul Benjamin, Deryle Lonsdale and Damian Lyons (2004). Designing a Robot Cognitive Architecture with Concurrency and Active Perception; Fall Symposium: The Intersection ofCognitive Science and Robotics: From interfaces to intelligence; Technical Report FS-04-05;Menlo Park, CA: American Association for Artificial Intelligence, pp. 1-8.
BYU ScholarsArchive Citation
Lonsdale, Deryle W.; Benjamin, D. Paul; and Lyons, Damian M., "Designing a Robot Cognitive Architecture with Concurrency and Active Perception" (2004). Faculty Publications. 6840.
https://scholarsarchive.byu.edu/facpub/6840
Document Type
Conference Paper
Publication Date
2004
Publisher
American Association for Artificial Intelligence
Language
English
College
Humanities
Department
Linguistics and English Language
Copyright Status
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