Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-41-2022
https://doi.org/10.5194/ms-13-41-2022
Research article
 | 
08 Feb 2022
Research article |  | 08 Feb 2022

Evolutionary multi-objective trajectory optimization for a redundant robot in Cartesian space considering obstacle avoidance

Yong Liu, Xiang Li, Peiyang Jiang, Zhe Du, Zhe Wu, Boxi Sun, and Xinyan Huang

Viewed

Total article views: 1,505 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,075 390 40 1,505 30 30
  • HTML: 1,075
  • PDF: 390
  • XML: 40
  • Total: 1,505
  • BibTeX: 30
  • EndNote: 30
Views and downloads (calculated since 08 Feb 2022)
Cumulative views and downloads (calculated since 08 Feb 2022)

Viewed (geographical distribution)

Total article views: 1,424 (including HTML, PDF, and XML) Thereof 1,424 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
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.