@inproceedings{6290a0b56262429c8181e33e8cf24359,
title = "Optimal trajectory planning for robotic manipulators using chicken swarm optimization",
abstract = "The optimal trajectory planning is one fundamental problem in the area of robotic research. In this paper, chicken swarm optimization (CSO), a new bio-inspired algorithm, is applied to optimize the trajectory for the robotic manipulators. The trajectory is constructed by three-order B-spline curves and complies with the kinematical constraints. The algorithm adopts minimum travelling time as the objective function in order to obtain the optimal trajectory. The experiments are executed with a 6-DOF robotic manipulator that is applied to surface polishing of metallic workpiece. The experimental results verify the effectiveness of the method.",
keywords = "B-spline, CSO, Manipulator, Trajectory planning",
author = "Yu Mu and Lijuan Zhang and Xingran Chen and Xueshan Gao",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2016 ; Conference date: 11-09-2016 Through 12-09-2016",
year = "2016",
month = dec,
day = "14",
doi = "10.1109/IHMSC.2016.107",
language = "English",
series = "Proceedings - 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "369--373",
booktitle = "Proceedings - 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2016",
address = "United States",
}