Abstract
An original algorithm of locally optimal (w.r.t. the manipulability criterion) motion planning for manipulators is presented. It takes advantage of the Singular Value Decomposition algorithm to decompose the Jacobian matrix of a manipulator and to transform a local motion planning problem into a task of finding a tangent point of a given manipulability ellipsoid with a family of spheres. This task supported by an analytic geometry technique generates one-dimensional optimization task. Its solution determines a short term motion at a current configuration. Performance of the algorithm was illustrated on a 3D planar pendulum manipulator.
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© 2012 Springer London
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Dulȩba, I., Karcz-Dulȩba, I. (2012). Planning Motion of Manipulators with Local Manipulability Optimization. In: Kozłowski, K. (eds) Robot Motion and Control 2011. Lecture Notes in Control and Information Sciences, vol 422. Springer, London. https://doi.org/10.1007/978-1-4471-2343-9_31
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DOI: https://doi.org/10.1007/978-1-4471-2343-9_31
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