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Cited by 84Manufacturing Process and OptimizationRobot Manipulation and LearningDigital Transformation in Industry

A human-cyber-physical system enabled sequential disassembly planning approach for a human-robot collaboration cell in Industry 5.0

Open access
Lou, Shanhe, Zhang, Yiran, Tan, Runjia, Lv, Chen·2024·Robotics and Computer-Integrated Manufacturing
DOI 10.1016/j.rcim.2023.102706
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Crossref · 10.1016/j.rcim.2023.102706

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  • Reinforcement learning with a 0.1 learning rate stabilizes systems in harvesting and minimizes construction errors, though exploration risks persist.

    “Reinforcement learning with a 0.1 learning rate stabilizes systems in harvesting [28] and minimizes construction errors [34], though exploration risks persist [13].”

    From Hybrid Fault-Tolerant Control in Cooperative Robotics: Advances in Resilience and Scalability (2025) · cites this paper as [34]

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Authors
Lou, S., Zhang, Y., Tan, R., & Lv, C.
Affiliations
Nanyang Technological University (SG)
Corresponding author
Lv, Chen
ORCID
Venue
Robotics and Computer-Integrated Manufacturing
Publisher
Elsevier BV
Published
2024-06
Volume
87
Pages
102706
ISSN
0736-5845 (ISSN-L)
DOI
10.1016/j.rcim.2023.102706
OpenAlex
W4389579542
Cited by
84
References
1
Citations by year
2026: 19 · 2025: 41 · 2024: 24
FWCI
11.14
Type
journal article
Language
en
Open access
Licence
Locations
  • Robotics and Computer-Integrated Manufacturing (acceptedVersion)
  • DR-NTU (Nanyang Technological University) (submittedVersion)
Funders
  • Agency for Science, Technology and Research (A2084c0156)
  • Nanyang Technological University
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
  • Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Keywords
disassembly planning, human-robot collaboration, human-cyber-physical systems, remanufacturing, Industry 5.0, task allocation, disassembly sequence, operator ergonomics, human-in-the-loop, human-on-the-loop, multi-objective optimization, grey wolf optimizer, cloud model, Pareto front

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