Industry-Education Integration Case for Robot-based Retired Battery Disassembly: Learning from Demonstration
DOI: 10.23977/jemm.2026.110114 | Downloads: 0 | Views: 32
Author(s)
Weidong Li 1, Cheng Qian 1, Yu Zhu 1
Affiliation(s)
1 School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China
Corresponding Author
Yu ZhuABSTRACT
With the new energy vehicle industry entering a large-scale development stage, the automated and safe disassembly and recycling of retired power batteries have become key technologies and hotspots for talent demand in the industry. Compared to traditional manual methods, robot-based automated disassembly, offers significant advantages in efficiency, safety, and process consistency. To foster industry-education integration and bridge the gap between teaching and industrial practice, this study integrates a simulated laboratory environment for mechanized battery disassembly into instructional practice. However, traditional robot control methods often require high programming skills from operators. This study adopts a learning from demonstration (LfD) approach, enabling the robot to autonomously learn and reproduce optimized motion trajectories for battery module disassembly through manual guidance. The experimental results show that the robot control strategy based on demonstration is stable and effective in the simulated disassembly task, not only verifying the applicability of this method in the battery disassembly process but also providing valuable insights and practical references for future research and application in this field.
KEYWORDS
Industry-education integration, learning form demonstration, retired battery disassembly, robot controlCITE THIS PAPER
Weidong Li, Cheng Qian, Yu Zhu. Industry-Education Integration Case for Robot-based Retired Battery Disassembly: Learning from Demonstration. Journal of Engineering Mechanics and Machinery (2026). Vol. 11, No. 1, 147-154. DOI: http://dx.doi.org/10.23977/jemm.2026.110114.
REFERENCES
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