Yajin Zhou

University of Science and Technology of China, Institute of Intelligent Machines

Papers

Total Citations

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About

Yajin Zhou’s research focuses on the intersection of mobile robotics, wireless communication, and computer vision, with a particular emphasis on enabling robust autonomous navigation in challenging environments. His early work tackled critical limitations in robot localization and control, addressing scenarios where traditional GPS signals fail, such as indoor or complex field settings. A key contribution is the design and implementation of a wireless sensor network specifically for robot navigation, providing an alternative localization framework that has garnered foundational citations. Zhou further advanced visual localization by developing a method that combines background subtraction with optical flow tracking, offering a low-cost, vision-based solution that overcomes the shortcomings of conventional techniques. In the domain of teleoperation, he proposed TFRC-PROBE, a novel transport protocol tailored for mobile robots operating over wireless networks, directly addressing the inadequacies of standard TCP and UDP for real-time control. Although his most-cited paper has 5 citations, the conceptual groundwork laid by Zhou’s integrated approach to sensor fusion, vision, and network protocol design represents an early and important step toward more resilient, autonomous robotic systems. His work is particularly instructive for students exploring the practical challenges of deploying robots in GPS-denied environments.