Jingyu Zhang

Xi'an Jiaotong University, Zhejiang University

Papers

Total Citations

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About

Jingyu Zhang is a researcher working at the intersection of computer vision, robotics, and medical technology, with a focus on developing intelligent systems that bridge perception and real-world application. His most recognized contribution, "SDF-SLAM" (2022, 15 citations), advances the field of Simultaneous Localization and Mapping by integrating deep learning with semantic and depth fusion using monocular cameras — a significant step forward for indoor map reconstruction with direct implications for augmented reality, autonomous robotics, and unmanned driving systems. By leveraging monocular sensors, his approach enables richer environmental understanding while maintaining practical simplicity in hardware requirements. Beyond autonomous systems, Zhang's research extends into medical robotics, as demonstrated by his work on image-guided teleoperation for soft bronchoscopy robots (2023), which addresses critical safety challenges in airway procedures traditionally requiring highly skilled manual insertion. This work reflects his broader ambition to apply intelligent sensing and control systems to high-stakes, real-world environments. Zhang's research portfolio reveals a researcher committed to making complex autonomous and robotic systems more accurate, safe, and accessible — contributing meaningfully to fields ranging from smart infrastructure to minimally invasive medical care.