An Improved Q-Learning Algorithm for Human-robot Collaboration Two-sided Disassembly Line Balancing Problems

Yi Zhi Liu, Men Chu Zhou, Xiwang Guo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

If people simply trash their used products, they would face many issues such as pollution to environment and resource waste. Recycling and remanufacturing used products are thus necessary, which makes the study of disassembly line balancing problems important. At present, manual disassembly is popular and it does not guarantee personal safety in the event of dangerous disassembly parts. Targeting at this problem, a mixed human-robot disassembly method is proposed. An improved Q-learning algorithm based on reinforcement learning is used to solve the two-sided disassembly line balancing problem with the objective of minimizing total disassembly time. The improved algorithm is compared with the SARSA algorithm. The results show that it can find better solutions than SARSA, and outperforms SARSA particularly in large-scale cases.

Original languageEnglish (US)
Title of host publication2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages568-573
Number of pages6
ISBN (Electronic)9781665452588
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Prague, Czech Republic
Duration: Oct 9 2022Oct 12 2022

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2022-October
ISSN (Print)1062-922X

Conference

Conference2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
Country/TerritoryCzech Republic
CityPrague
Period10/9/2210/12/22

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

Keywords

  • Q-learning algorithm
  • Reinforcement learning
  • human-robot combination
  • two-sided disassembly line balancing

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