Xiang-Xuan Li

National Yunlin University of Science and Technology

Papers

Total Citations

H-Index

About

Xiang-Xuan Li is a researcher specializing in cost-effective robotic perception and localization systems. His primary research areas include monocular vision-based obstacle detection and wireless sensor network localization for mobile robots. Li's major contribution lies in developing a real-time obstacle detection system that uses a single wide-angle camera instead of expensive laser or dual-lens sensors, significantly reducing hardware costs while maintaining practical performance for robotic applications. This work, published in 2020, has garnered 11 citations, reflecting its relevance in the field of affordable robotics. Additionally, Li explored robot localization using Zigbee wireless nodes in a 2019 study, demonstrating an alternative approach to positioning without traditional GPS or expensive sensors. Although this work has fewer citations (2), it highlights his consistent focus on accessible, low-cost solutions for autonomous navigation. Li's research is particularly notable for its practical implications in budget-constrained robotic systems, making autonomous navigation more attainable for small-scale projects and educational platforms.