Jinchang Zhang

Shandong University of Science and Technology, University of Georgia, Binghamton University

Papers

Total Citations

H-Index

About

Jinchang Zhang is a robotics and computer vision researcher whose work bridges autonomous navigation, precision agriculture, and embodied AI. His research focuses on developing robust perception systems for mobile robots operating in challenging real-world environments. Zhang’s most impactful contribution addresses the critical problem of mobile robot localization in industrial settings with non-line-of-sight (NLOS) conditions, where his 2020 paper proposed novel measurement processing strategies combined with an improved particle filter—work that has garnered 11 citations and laid the foundation for reliable robot navigation in complex spaces. He has also pioneered the application of robotic vision in agriculture, developing convolutional neural network models deployed on bionic quadruped robots for precision monitoring of dead chickens and floor eggs in cage-free poultry housing (2025). In the realm of embodied perception, Zhang has advanced self-supervised depth estimation by leveraging camera models (2024) and, most recently, integrating vision-language models to enhance monocular depth estimation from single images (2025). His work consistently pushes toward more intelligent, autonomous systems that can perceive and navigate the physical world with minimal supervision, making him a rising voice in embodied robotics and agricultural automation.