Papers
36
Total Citations
740
H-Index
13
About
Minghui Zheng is a robotics and automation researcher whose work spans human–robot collaboration, disassembly planning, robot control, and human motion prediction. He has emerged as a leading voice in the field of intelligent disassembly systems, particularly for end-of-life product recycling and remanufacturing. His most cited work, "Task Allocation and Planning for Product Disassembly with Human–Robot Collaboration" (2022, 161 citations), exemplifies his focus on making labor-intensive disassembly processes safer and more efficient through collaborative robotics. Zheng's research integrates sophisticated motion prediction algorithms — including transformer-based diffusion models and Kalman filtering — with task-constrained motion planning to enable robots to anticipate and adapt to human behavior in real time. Earlier in his career, he made notable contributions to robot control theory, including path-following algorithms for spherical robots and iterative learning control methods for vibration suppression in industrial manipulators. His 2023 review of human–robot disassembly opportunities (48 citations) has helped shape the research agenda in this growing field. Collectively, his work — accumulating nearly 550 citations — bridges foundational control theory with cutting-edge AI, advancing the vision of intelligent, human-centered manufacturing systems.
Research Focus
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- 10Uncertainty-Assisted Image-Processing for Human-Robot Close Collaboration24 citations · 2022