Point-to-Point Trajectory Planning of Flexible Redundant Robot Manipulators Using Genetic Algorithms
- The paper focuses on the problem of point-to-point trajectory planning for flexible redundant robot manipulators (FRM) in joint space. Compared with irredundant flexible manipulators, a FRM possesses additional possibilities during point-to-point trajectory planning due to its kinematics redundancy. A trajectory planning method to minimize vibration and/or executing time of a point-to-point motion is presented for FRM based on Genetic Algorithms (GAs). Kinematics redundancy is integrated into the presented method as planning variables. Quadrinomial and quintic polynomial are used to describe the segments that connect the initial, intermediate, and final points in joint space. The trajectory planning of FRM is formulated as a problem of optimization with constraints. A planar FRM with three flexible links is used in simulation. Case studies show that the method is applicable.
Author: | Shigang Yue, Dominik Henrich, W. L. Xu, S. K. Tso |
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URN: | urn:nbn:de:hbz:386-kluedo-11593 |
Document Type: | Preprint |
Language of publication: | English |
Year of Completion: | 2001 |
Year of first Publication: | 2001 |
Publishing Institution: | Technische Universität Kaiserslautern |
Date of the Publication (Server): | 2001/09/03 |
Tag: | AG-RESY; RODEO; flexible-link robot; genetic algorithms; point-to-point; redundancy; trajectory planning; vibration |
Faculties / Organisational entities: | Kaiserslautern - Fachbereich Informatik |
DDC-Cassification: | 0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Collections: | AG RESY |
Licence (German): | Standard gemäß KLUEDO-Leitlinien vor dem 27.05.2011 |