Junjie Lin

Fuzhou University, South China University of Technology

Papers

Total Citations

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About

Junjie Lin is a researcher at the intersection of advanced manufacturing, mechanics, and robotics, with key contributions in programmable materials and intelligent robotic control. His work on bistable structures with controllable wrinkled surfaces (2020, 14 citations) introduced a novel approach to harnessing mechanical instabilities for tunable surface properties, enabling applications in adaptive optics and smart adhesives. Lin’s strain engineering method for programmable 3D self-folding structures (2020, 11 citations) demonstrated how bilayer architectures can transform between cylindrical and helical shapes across multiple length scales, offering a powerful platform for deployable devices and soft robotics. More recently, he has extended his expertise into robotics, developing dynamic neural learning algorithms for obstacle avoidance in humanoid robots performing cooperative tasks (2025, 5 citations). This work bridges his foundational understanding of mechanical design with adaptive control, showcasing his versatility. With a growing citation record and a portfolio spanning fundamental mechanics to applied robotics, Lin’s research is shaping the future of morphable structures and intelligent autonomous systems.