Qiwen Lin
Papers
1
Total Citations
30
H-Index
1
About
Qiwen Lin is a leading researcher at the intersection of intelligent manufacturing, robotics, and sustainable engineering, with a primary focus on advancing disassembly automation for a circular economy. Her most impactful work addresses a critical bottleneck in end-of-life product recycling: the uncertain missing condition of components during robotic disassembly. In her highly cited 2023 paper, "Digital Twin-Driven Robotic Disassembly Sequence Dynamic Planning Under Uncertain Missing Condition," Lin pioneered a dynamic planning framework that leverages digital twin technology to adapt disassembly sequences in real-time, overcoming the limitations of pre-planned static models. This contribution has garnered 30 citations in just a short time, reflecting its significance in enabling more efficient, resilient robotic systems for recycling. Lin’s research is notable for its practical relevance—tackling the unpredictable nature of real-world waste streams—and its integration of cutting-edge digital twins with robotics. Her work not only enhances disassembly efficiency but also supports broader sustainability goals by facilitating the recovery of valuable components from end-of-life products, marking her as a rising innovator in smart remanufacturing.
Research Focus
Key Achievements
Top Papers
- 1