A Study of Six Degrees of Freedom Welding Robot Path Planning Based on Genetic Algorithms
Authors
Haiming Shen, Qian Kang, Xiaofeng Yuan
Corresponding Author
Haiming Shen
Available Online December 2015.
- DOI
- 10.2991/jimet-15.2015.141How to use a DOI?
- Keywords
- Genetic algorithms; six degrees of freedom; path planning; multi-objective optimization
- Abstract
n this paper, modeling is planned on the basis of characteristics of six degrees of freedom welding robot. According to the characteristics of the genetic algorithm, the modeling take the advantage of the most representative weighting method of multi-objective optimization design method to weigh all the performance requirements and determine the fitness function, and to plan an optimal trajectory capable of keeping the arm of welding robot from multiple obstacles and meeting the requirements of exercise time, track length, kinematics and dynamics at the same time.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Haiming Shen AU - Qian Kang AU - Xiaofeng Yuan PY - 2015/12 DA - 2015/12 TI - A Study of Six Degrees of Freedom Welding Robot Path Planning Based on Genetic Algorithms BT - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference PB - Atlantis Press SP - 756 EP - 760 SN - 2352-538X UR - https://doi.org/10.2991/jimet-15.2015.141 DO - 10.2991/jimet-15.2015.141 ID - Shen2015/12 ER -