| Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|
|
|---|---|---|
| Article Number | 02031 | |
| Number of page(s) | 6 | |
| Section | Algorithm Optimization and Application | |
| DOI | https://doi.org/10.1051/itmconf/20224702031 | |
| Published online | 23 June 2022 | |
Research on robotic disassembly sequence planning based on genetic programming
1 School of Information Engineering, Wuhan University of Technology, Wuhan, China
2 School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, China
* Corresponding author: jinl@zfsycf.com.cn
In the context of green recycling and remanufacturing, in order to achieve economic and environmental benefits, the problem of robotic disassembly sequence planning (RDSP) has received more and more attention from researchers. Considering the structure and kinematic characteristics of industrial robots, this paper uses spatial interference matrix to describe the physical constraint relationship between End-of-Life (EoL) product parts, and a multi-objective robot disassembly sequence planning model with the goal of minimizing the switching time of disassembly tools and maximizing the disassembly profit is created. Meanwhile, a multi-objective robot disassembly sequence planning algorithm based on genetic programming (GP) algorithm is proposed to solve the mathematical model. Finally, a case studies based on a gear pump verify the effectiveness of proposed method.
Key words: Remanufacturing / Robotic disassembly sequence planning / Genetic programming / Multi-objective optimization
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.