X. J. Li

Shendi University, Henan University of Technology

Papers

Total Citations

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About

X. J. Li’s research focuses on mobile robot self-localization and the computational geometry of robotic workspaces, blending numerical analysis with practical sensing integration. In his foundational work, Li developed a CAD-vision-range-based self-localization method for mobile robots using a single landmark, achieving robust pose estimation by fusing visual and range data—a precursor to modern sensor fusion techniques. This paper has garnered 7 citations, reflecting its early influence on autonomous navigation. His most significant contribution, however, lies in a numerical-analytical method for computing robot workspace boundaries. By combining random probability-based numerical generation with exact analytical mapping, Li enabled precise determination of spatial robot workspace envelopes—critical for optimal design and application. This work, cited 5 times, provides engineers with a systematic tool for workspace analysis, bridging simulation and real-world constraints. Li’s achievements demonstrate a commitment to practical, computationally efficient solutions in robotics, offering foundational techniques that continue to inform research in autonomous systems and mechanism design.