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Manipulability optimization for trajectory generation

Authors: Luis Guilamo; James J. Kuffner Jr.; Koichi Nishiwaki; Satoshi Kagami;

Manipulability optimization for trajectory generation

Abstract

In this paper, we present an algorithm for manipulability based trajectory generation for any serial manipulator that has an inverse kinematic model that can obtain all solutions. Our strategy is a search based approach that analyzes candidate configurations at discrete points along the work-space trajectory. Given such a model we prove the configuration-space trajectories generated are optimal within the limit of the discretization of the work-space trajectory

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
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