Zhangxi Lin

Tianjin University, Tianjin Internal Combustion Engine Research Institute

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About

Zhangxi Lin is a robotics researcher whose work centers on assistive navigation technologies and flexible mechanical systems. His primary research areas include guide dog robots (GDRs), stereo vision–based obstacle detection, and dynamic modeling of flexible cables. Lin’s most impactful contribution is the comprehensive systematic literature review on key technologies for Guide Dog Robots, which has garnered 37 citations and serves as a foundational reference for researchers developing robotic aids for the visually impaired. In this work, he synthesized advances in perception, control, and human-robot interaction, establishing a roadmap for future GDR development. His 2021 review on lumped mass models for flexible cables, with 5 citations, provides a critical state-of-the-art analysis of mathematical modeling techniques essential for underwater towing and mooring systems. Most recently, in 2024, Lin proposed a novel stereo vision–based obstacle detection method for GDRs, achieving 4 citations by combining theoretical lens imaging analysis with practical MATLAB-based calibration. Together, these contributions demonstrate Lin’s dual expertise in assistive robotics and mechanical system modeling, positioning him as a rising voice in accessible technology and flexible structure dynamics.