Man-robot symbiosis: a framework for cooperative intelligence and control
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 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. 12 refs., 3 figs.
- Research Organization:
- Oak Ridge National Lab., TN (USA)
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 6852919
- Report Number(s):
- CONF-881116-3; ON: DE89000430
- Resource Relation:
- Conference: Advances in intelligent robotics systems, Cambridge, MA, USA, 6 Nov 1988; Other Information: Portions of this document are illegible in microfiche products
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
42 ENGINEERING
MAN-MACHINE SYSTEMS
SYMBIOSIS
ARTIFICIAL INTELLIGENCE
AUTOMATION
COMPUTER ARCHITECTURE
DECISION MAKING
KNOWLEDGE BASE
REMOTE CONTROL
ROBOTS
CONTROL
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