Yuzhi Yang

Papers

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About

Yuzhi Yang is a researcher in mobile robotics and computer vision, with a focused interest in monocular vision-based navigation and control systems. His work addresses the challenge of enabling autonomous robots to perceive and localize themselves in structured environments using only a single camera—a cost-effective and practical approach for real-world applications. His most cited paper, "Monocular Vision Navigation and Control of Mobile Robot" (2012), has garnered 7 citations and lays foundational methods for integrating visual feedback into robot motion planning. In a related study, "Circular Road Sign Analysis and Visual Localization Approach Based on Monocular Vision" (2012, 3 citations), Yang proposed a novel circular road sign detection algorithm that combines color-based segmentation with geometric analysis to achieve stable, real-time visual localization. This work demonstrates his ability to design simple yet robust visual markers and processing pipelines that enhance robot autonomy. While his citation counts are modest, Yang’s contributions are notable for their practical emphasis on reliable, low-cost navigation solutions—an important stepping stone for students and researchers exploring vision-based robotics in constrained environments.