A Review of Prospects and Opportunities in Disassembly with Human-Robot Collaboration
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Abstract (arXiv)
Product disassembly plays a crucial role in the recycling, remanufacturing, and reuse of end-of-use (EoU) products. However, the current manual disassembly process is inefficient due to the complexity and variation of EoU products. While fully automating disassembly is not economically viable given the intricate nature of the task, there is potential in using human-robot collaboration (HRC) to enhance disassembly operations. HRC combines the flexibility and problem-solving abilities of humans with the precise repetition and handling of unsafe tasks by robots. Nevertheless, numerous challenges persist in technology, human workers, and remanufacturing work, that require comprehensive multidisciplinary research to bridge critical gaps. These challenges have motivated the authors to provide a detailed discussion on the opportunities and obstacles associated with introducing HRC to disassembly. In this regard, the authors have conducted a thorough review of the recent progress in HRC disassembly and present the insights gained from this analysis from three distinct perspectives: technology, workers, and work.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Oct 2023.
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Citing papers per year: 2024: 1; 2025: 2; 2026: 4.
7 papers.
- 2025Warm-Starting Optimization-Based Motion Planning for Robotic Manipulators via Point Cloud-Conditioned Flow Matchingcited by 4
- 2026SELF-VLA: A Skill Enhanced Agentic Vision-Language-Action Framework for Contact-Rich Disassemblycited by 3
- 2024Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Predictioncited by 2
- 2025Vision-Language-Action Models for Selective Robotic Disassembly: A Case Study on Critical Component Extraction from Desktopscited by 1
- 2026Toward Generalist Neural Motion Planners for Robotic Manipulators: Challenges and Opportunitiescited by 1
- 2026Removing Infrastructure Barriers in Human-Robot Collaboration Through Wireless Reconfigurable Cellscited by 0
- 2026Generative Action-Chunk Sampling for Adaptive Stiffness Control in Physical Human-Robot Collaborationcited by 0
- 2026Generative Action-Chunk Sampling for Adaptive Stiffness Control in Physical Human-Robot Collaboration26 Aug 2026
- 2026Removing Infrastructure Barriers in Human-Robot Collaboration Through Wireless Reconfigurable Cells10 Aug 2026
- 2026Toward Generalist Neural Motion Planners for Robotic Manipulators: Challenges and Opportunities25 Mar 2026
- 2026SELF-VLA: A Skill Enhanced Agentic Vision-Language-Action Framework for Contact-Rich Disassembly10 Mar 2026
- 2025Vision-Language-Action Models for Selective Robotic Disassembly: A Case Study on Critical Component Extraction from Desktops4 Dec 2025
- 2025Warm-Starting Optimization-Based Motion Planning for Robotic Manipulators via Point Cloud-Conditioned Flow Matching3 Oct 2025
- 2024Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction19 Sep 2024