Yiqun Peng
Papers
5
Total Citations
155
H-Index
5
About
Yiqun Peng is a leading researcher at the forefront of sustainable manufacturing and intelligent automation, whose work is pivotal to the circular economy. His research focuses on the robotic disassembly of end-of-life products, particularly electric vehicle batteries, for remanufacturing. Peng’s major contributions lie in pioneering human-robot collaboration (HRC) frameworks that overcome the limitations of fully automated systems. He has developed innovative models, including a Stackelberg game-theoretic approach for screw removal and a deep reinforcement learning method for adaptive disassembly planning, enabling robots to handle the high variability of used products. His highly cited review on intelligent and HRC-enabled battery disassembly (58 citations) has become a foundational reference in the field. Peng’s recent work on multi-agent deep reinforcement learning for dynamic disassembly planning (2025) further advances the state of the art, promising to make remanufacturing more economically viable and scalable. With over 150 total citations, his research is not only academically influential but also directly addresses the critical industrial challenge of reducing e-waste and recovering valuable materials.
Research Focus
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