Optimal Path and Trajectory Planning for Serial Robots: Inverse Kinematics for Redundant Robots and Fast Solution of Parametric Problems - Couverture souple

Reiter, Alexander

 
9783658285937: Optimal Path and Trajectory Planning for Serial Robots: Inverse Kinematics for Redundant Robots and Fast Solution of Parametric Problems

Synopsis

Alexander Reiter describes optimal path and trajectory planning for serial robots in general, and rigorously treats the challenging application of path tracking for kinematically redundant manipulators therein in particular. This is facilitated by resolving both the path tracking task and the optimal inverse kinematics problem simultaneously. Furthermore, the author presents methods for fast computation of approximate optimal solutions to planning problems with changing parameters. With an optimal solution to a nominal problem, an iterative process based on parametric sensitivities is applied to rapidly obtain an approximate solution.

About the Author:

Dr. Alexander Reiter is a senior scientist at the Institute of Robotics of the Johannes Kepler University (JKU) Linz, Austria. His major fields of research are kinematics, dynamics, and trajectory planning for kinematically redundant serial robots as well as real-time methods for solving parametricnon-linear programming problems.

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À propos de l?auteur

Dr. Alexander Reiter is a senior scientist at the Institute of Robotics of the Johannes Kepler University (JKU) Linz, Austria. His major fields of research are kinematics, dynamics, and trajectory planning for kinematically redundant serial robots as well as real-time methods for solving parametric non-linear programming problems.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9783658285951: Optimal Path and Trajectory Planning for Serial Robots: Inverse Kinematics for Redundant Robots and Fast Solution of Parametric Problems

Edition présentée

ISBN 10 :  3658285958 ISBN 13 :  9783658285951
Editeur : Springer Vieweg, 2019
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