A comprehensive review on human–robot collaboration remanufacturing towards uncertain and dynamic disassembly

Manufacturing Review, Год журнала: 2024, Номер 11, С. 17 - 17

Опубликована: Янв. 1, 2024

With the continuously increasing volumes of End-of-Life (EOL) products and emergence Industry 4.0-related technologies, manual labor-intensive disassembly in remanufacturing process is gradually shifting towards human–robot collaboration (HRC) disassembly. However, it necessary to consider most commonly approach current robot-involved automatic with high efficiency adaptability. The purpose this paper summarize existing technologies further discuss possible applications various process, thereby providing comprehensive reviews future research directions. presents an analysis technical issues encountered HRC which provides a summary intelligent platform robot agents as core, focusing on optimization Furthermore, relevant are reviewed systems, including Cyber-Physical systems (CPS), Internet Things (IoT), Cloud Computing, Artificial Intelligence (AI), Digital Twins (DT). industrial methods have discussed potential trends multiple robots humans perspectives task allocation, collaborative decision-making, performance evaluation, application digital twin technology lines.

Язык: Английский

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Multi-objective human-robot collaborative disassembly line balancing problem considering components remanufacture demand and hazard characteristics

Computers & Industrial Engineering, Год журнала: 2024, Номер 197, С. 110621 - 110621

Опубликована: Окт. 9, 2024

Язык: Английский

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Expert opinion aggregation-based decision support for human-robot collaboration digital twin maturity assessment

Journal of Industrial Information Integration, Год журнала: 2024, Номер unknown, С. 100710 - 100710

Опубликована: Окт. 1, 2024

Язык: Английский

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A scientometric analysis and critical review of digital twin applications in project operation and maintenance

Engineering Construction & Architectural Management, Год журнала: 2024, Номер unknown

Опубликована: Авг. 14, 2024

Purpose Recent emerging information technologies like digital twin (DT) provide new concepts and transform management processes in the architecture, engineering construction (AEC) industry. Although numerous articles are pertinent to DT applications, existing research areas potential future directions related state-of-the-art project operation maintenance (O&M) yet be studied. Therefore, this paper aims review on applications O&M. Design/methodology/approach The current adopted four methodological steps, including literature search, selection, science mapping analysis qualitative discussion gain a deeper understanding of impact contribution keywords documents were examined from total 444 journal retrieved Scopus database. Findings Five mainstream topics identified, (1) DT-based artificial intelligence technology for O&M, (2) DT-enabled smart city sustainability, (3) asset management, (4) Blockchain-integrated O&M (5) advanced management. Subsequently, gaps proposed. Originality/value This study intends raise awareness by summarizing development phases their implementation among researchers practitioners.

Язык: Английский

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A deep learning-enabled visual-inertial fusion method for human pose estimation in occluded human-robot collaborative assembly scenarios

Robotics and Computer-Integrated Manufacturing, Год журнала: 2024, Номер 93, С. 102906 - 102906

Опубликована: Ноя. 30, 2024

Язык: Английский

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