Applying means-ends analysis to spatial planning

Existing methods for robot planning fall far behind human capabilities: they require approximations of shapes, and they cannot generate plans which involve moving obstacles to clear a path for the moving object. The authors explore the hypothesis that means-ends analysis based on a world model involving mental imagery allows more human-like solutions. The method is based on a way or representing planning constraints which makes it possible to generate incrementally the symbolic representations for means-ends planning using only imagery operations


Published in:
Proceedings IROS '91. IEEE/RSJ International Workshop on Intelligent Robots and Systems '91. Intelligence for Mechanical Systems (Cat. No.91TH0375-6), Copyright 1992, IEE, 80-5
Year:
1991
Publisher:
IEEE
Keywords:
Note:
Lab. d'Intelligence Artificielle, Ecole Polytech. Federale de Lausanne, Switzerland
Laboratories:




 Record created 2008-01-14, last modified 2018-03-17


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