Weibin Qu

Papers

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About

Weibin Qu is a leading researcher in sustainable manufacturing and intelligent automation, with a primary focus on the circular economy of lithium-ion batteries. His work centers on the critical challenge of disassembling end-of-life power batteries, a process fraught with complexity due to diverse battery types, designs, and service histories. Qu’s major contributions lie in integrating cutting-edge digital technologies to overcome these hurdles. His most cited work, "Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin" (2023), has garnered 59 citations for pioneering a flexible, real-time planning framework that uses digital twins to optimize the collaboration between human workers and robots. More recently, his 2024 paper on "A knowledge transfer method for human-robot collaborative disassembly...based on augmented reality" tackles the limitations of human memory and robotic cognition by using AR to transfer complex disassembly knowledge directly to the operator. This innovative approach promises to make the recycling of critical battery materials more efficient and scalable. Qu’s research is not only highly cited but also directly addresses a pressing environmental and industrial need, positioning him as a key figure in the transition toward a more sustainable, technology-driven battery lifecycle.