Empirical verification of fine-motoion planning theories
Description:
Successful robot systems must employ actions that are robust in the face of task uncertainty. Toward this end, Lozano-Perez, Mason, and Taylor developed a model of manipulation tasks that explicitly considers task uncertainty. In this paper we study the utility of this model applied to real-world tasks. We report the results of two experiments that highlight the strengths and weaknesses of the LMT approach. The first experiment showed that the LMT formalism can successfully plan solutions for a…
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Date:
July 1995
Creator:
Brost, R. C. & Christiansen, A. D.
Item Type:
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Partner:
UNT Libraries Government Documents Department