DocumentCode :
1288435
Title :
Generation of Paths With Minimum Curvature Derivative With η3-Splines
Author :
Bianco, Corrado Guarino Lo ; Gerelli, Oscar
Author_Institution :
Univ. of Parma, Parma, Italy
Volume :
7
Issue :
2
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
249
Lastpage :
256
Abstract :
This paper deals with the generation of smooth paths planned by means of η3-splines, a recently devised planning primitive used for the automated steering of wheeled mobile robots. The shape of η3-splines can be easily modified by acting on a set of free parameters. This capability can be used, for example, to satisfy an assigned optimality criterion. In this paper, it will be used to minimize the curvature variability in order to reduce the lateral solicitations affecting an autonomous robot. Evidently, curvature derivative could be minimized by means of an optimization algorithm. However, this approach cannot be suitably used in an online application which continuously requires the curve updating. For this reason, a heuristic method, based on closed form expressions, has been devised and proposed in the paper in order to efficiently generate almost optimal curves on the sole basis of the interpolating conditions. As a further characteristic, the proposed heuristic expressions permit obtaining, when appropriate interpolating conditions are given, η3-splines which at best emulate circular arcs and clothoids.
Keywords :
curvature measurement; interpolation; mobile robots; optimisation; path planning; splines (mathematics); steering systems; automated steering; autonomous robot; circular arcs; clothoids; heuristic method; interpolating conditions; minimum curvature derivative; optimal curves; optimality criterion; optimization algorithm; path generation; planning primitive; splines; wheeled mobile robots; Character generation; Mobile robots; Path planning; Power generation; Remotely operated vehicles; Road accidents; Road vehicles; Robotics and automation; Shape; Vehicle dynamics; Geometric continuity; mobile robots; optimal path generation;
fLanguage :
English
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1545-5955
Type :
jour
DOI :
10.1109/TASE.2009.2023206
Filename :
5196688
Link To Document :
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