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Springer Vieweg

Time-Optimal Trajectory Planning for Redundant Robots: Joint Space Decomposition for Redundancy Resolution in Non-Linear Optimization

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Product Code: 9783658127008
ISBN13: 9783658127008
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$61.47

Time-Optimal Trajectory Planning for Redundant Robots: Joint Space Decomposition for Redundancy Resolution in Non-Linear Optimization

$61.47
 
This master's thesis presents a novel approach to finding trajectories with minimal end time for kinematically redundant manipulators. Emphasis is given to a general applicability of the developed method to industrial tasks such as gluing or welding. Minimum-time trajectories may yield economic advantages as a shorter trajectory duration results in a lower task cycle time. Whereas kinematically redundant manipulators possess increased dexterity, compared to conventional non-redundant manipulators, their inverse kinematics is not unique and requires further treatment. In this work a joint space decomposition approach is introduced that takes advantage of the closed form inverse kinematics solution of non-redundant robots. Kinematic redundancy can be fully exploited to achieve minimum-time trajectories for prescribed end-effector paths.




Author: Alexander Reiter
Publisher: Springer Vieweg
Publication Date: Mar 22, 2016
Number of Pages: 90 pages
Binding: Paperback or Softback
ISBN-10: 3658127007
ISBN-13: 9783658127008
 

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