Hengwei Zhang
Papers
3
Total Citations
61
H-Index
3
About
Hengwei Zhang is a leading researcher in autonomous robotic systems for sustainable manufacturing, with a primary focus on the intelligent disassembly of end-of-life electric vehicle batteries (EVBs). His work directly addresses the critical challenge of efficiently and safely recycling the growing number of spent EVBs to support environmental protection and the circular economy. Zhang’s major contributions lie in developing robust, explainable robotic systems that can handle the high variability and uncertainty of real-world battery packs. He pioneered the use of NeuroSymbolic computing for task and motion planning, enabling robots to reason and adapt during complex disassembly sequences. His most cited work, “An Accurate Activate Screw Detection Method for Automatic Electric Vehicle Battery Disassembly” (2023, 29 citations), provides a key solution for one of the most challenging steps in the process. With over 60 total citations across his top three papers, Zhang’s research is establishing foundational methods for autonomous, safe, and efficient battery recycling, a cornerstone technology for the future of the electric vehicle industry.
Research Focus
Key Achievements
Top Papers
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