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Proceedings Paper

Man-Robot Symbiosis: A Framework For Cooperative Intelligence And Control
Author(s): Lynne E. Parker; Francois G. Pin
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Paper Abstract

The man-robot symbiosis concept has the fundamental objective of bridging the gap between fully human-controlled and fully autonomous systems to achieve true man-robot cooperative control and intelligence. Such a system would allow improved speed, accuracy, and efficiency of task execution, while retaining the man in the loop for innovative reasoning and decision-making. The symbiont would have capabilities for supervised and unsupervised learning, allowing an increase of expertise in a wide task domain. This paper describes a robotic system architecture facilitating the symbiotic integration of teleoperative and automated modes of task execution. The architecture reflects a unique blend of many disciplines of artificial intelligence into a working system, including job or mission planning, dynamic task allocation, man-robot communication, automated monitoring, and machine learning. These disciplines are embodied in five major components of the symbiotic framework: the Job Planner, the Dynamic Task Allocator, the Presenter/Interpreter, the Automated Monitor, and the Learning System.

Paper Details

Date Published: 27 October 1988
PDF: 10 pages
Proc. SPIE 1006, Space Station Automation IV, (27 October 1988); doi: 10.1117/12.949063
Show Author Affiliations
Lynne E. Parker, Oak Ridge National Laboratory (United States)
Francois G. Pin, Oak Ridge National Laboratory (United States)


Published in SPIE Proceedings Vol. 1006:
Space Station Automation IV
Wun C. Chiou, Editor(s)

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