DocumentCode :
2799732
Title :
Planning knowledge and game-theoretic models for cooperative assembly
Author :
Rajan, V.N. ; Nof, S.Y.
Author_Institution :
Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA
fYear :
1990
fDate :
5-7 Sep 1990
Firstpage :
957
Abstract :
A knowledge-based planning and control approach that involves game-theoretic models for cooperation among distributed machines is developed. The cooperation modes are classified into three types: mandatory, optional, and concurrent. The planning issue deals with two main problems: description of assembly tasks with associated cooperation knowledge and assignment of individual or collective tasks to robots or machines on the basis of the task requirements and machine capabilities. The most effective coalition of robots and machines that can perform the task successfully is determined on the basis of the current perception of the system
Keywords :
assembling; game theory; knowledge engineering; planning (artificial intelligence); assembly tasks; concurrent; cooperation knowledge; cooperation modes; cooperative assembly; distributed machines; game-theoretic models; knowledge based control; knowledge-based planning; machine capabilities; mandatory; optional; robots; task assignment; task requirements; Assembly systems; Collaboration; Game theory; Industrial engineering; Machine intelligence; Manufacturing; Real time systems; Robotic assembly; Robots; Strategic planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
Conference_Location :
Philadelphia, PA
ISSN :
2158-9860
Print_ISBN :
0-8186-2108-7
Type :
conf
DOI :
10.1109/ISIC.1990.128570
Filename :
128570
Link To Document :
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