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

Abstract

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