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https://doi.org/10.1109/robot....
Article . 2004 . Peer-reviewed
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A branch-and-prune algorithm for solving systems of distance constraints

Authors: Josep M. Porta; Federico Thomas; Lluís Ros; Carme Torras;

A branch-and-prune algorithm for solving systems of distance constraints

Abstract

Given a set of affine varieties in R3, i.e. planes, lines, and points, the problem tackled in this paper is that of finding all possible configurations for these varieties that satisfy a set of pairwise euclidean distances between them. Many problems in robotics - such as the forward kinematics of patroller manipulators or the contact formation problem between polyhedral models - can be formulated in this way. We propose herein a strategy that consists in finding some distances, that are unknown a priori, and whose derivation permits solving the problem rather trivially. Finding these distances relies on a branch-and-prune technique that iteratively eliminates from the space of distances entire regions which cannot contain any solution. The elimination is accomplished by applying redundant necessary conditions derived from the theory of Cayley-Menger determinants. The experimental results obtained qualify this approach as a promising one.

This work was supported by projects: 'Grup de recerca consolidat - ROBÒTICA' (8007), 'Resolución de sistemas de ecuaciones cinemáticas para la simulación de mecanismos, posicionado interactivo de objetos y conformación de moléculas' (070-722).

IEEE International Conference on Robotics and Automation (ICRA), 2003, Taipei (Taiwán)

Peer Reviewed

Country
Netherlands
Keywords

Automation: Robots, Robotics, Robots, Robots [Automation]

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selected citations
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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!
views
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