Shiyi Ren
Papers
2
Total Citations
28
H-Index
2
About
Dr. Shiyi Ren is a rising leader at the intersection of intelligent manufacturing, robotics, and sustainable production. Her research focuses on two transformative areas: optimizing complex disassembly systems for a circular economy and enabling robots to manipulate highly deformable objects. In her landmark 2024 work, Dr. Ren introduced a hybrid evolutionary algorithm to solve the stochastic human–robot collaborative disassembly line balancing problem while minimizing carbon emissions—a critical step toward eco-efficient remanufacturing. This paper has already garnered 21 citations, reflecting its immediate impact on sustainable automation. Her 2023 contribution tackles a notoriously difficult robotics challenge: the perception and manipulation of branched deformable linear objects, such as wire harnesses. By applying deep learning-based instance segmentation, Dr. Ren’s system can extract the geometric features of these complex, infinite-dimensional objects, enabling robots to handle them with unprecedented precision. This work is foundational for automating assembly in the electrical and automotive industries. Dr. Ren’s research uniquely bridges algorithmic optimization and practical robotic perception, positioning her as a key innovator in creating greener, more intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
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