Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-41-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-13-41-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evolutionary multi-objective trajectory optimization for a redundant robot in Cartesian space considering obstacle avoidance
School of Mechanical Engineering, Hefei University of Technology,
Hefei 230009, China
Xiang Li
School of Mechanical Engineering, Hefei University of Technology,
Hefei 230009, China
Peiyang Jiang
School of Mechanical Engineering, Hefei University of Technology,
Hefei 230009, China
Zhe Du
Department of Mechanical Engineering, Kyushu University, Fukuoka
819-0395, Japan
Zhe Wu
School of Mechanical Engineering, Hefei University of Technology,
Hefei 230009, China
Boxi Sun
School of Mechanical Engineering, Hefei University of Technology,
Hefei 230009, China
Xinyan Huang
School of Mechanical Engineering, Zhejiang University, Hangzhou
310007, China
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Ye Dai, Zhaoxu Liu, Yunshan Qi, Hanbo Zhang, Bindi You, and Yufei Gao
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Abdur Rosyid, Bashar El-Khasawneh, and Anas Alazzam
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M. Oberherber, H. Gattringer, and A. Müller
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The time optimal path following problem for industrial robots regards the problem of generating trajectories that follow predefined end-effector paths in shortest time possible, taking into account kinematic and dynamic constraints. This paper proposes an approach to deal with arbitrary long geometric paths. Further a method is presented to achieve suitable smooth trajectories for an implementation on a real robot, in an easy way.
L. Cao, A. Dolovich, and W. J. Zhang
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A. Eskandari and P. R. Ouyang
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Short summary
First, we calculated the trajectory of the end effector of manipulator. This trajectory enables the end effector to reach the desired pose. At the same time, collision detection algorithm was employed to calculate the distance between each link of the manipulator and obstacle. We utilized the multi-objective particle swarm optimization algorithm to optimize the trajectory to minimize joint motor energy consumption and reduce joint velocity and joint impact during the movement of the manipulator.
First, we calculated the trajectory of the end effector of manipulator. This trajectory enables...