Zelun Li

Chongqing University of Science and Technology

Papers

Total Citations

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About

Zelun Li is a researcher whose work bridges robotics, precision control, and culinary automation. His primary research areas include mobile robot localization, simultaneous localization and mapping (SLAM), and modular mechanical design for service robots. Li’s major contribution lies in improving the positioning accuracy of mobile robots in indoor environments where GNSS signals fail. In his 2023 paper on the improved RTABMAP algorithm, he addresses a critical challenge: the gradual degradation of positional accuracy as robots navigate indoors. By refining visual SLAM techniques, Li’s work enhances the reliability of autonomous navigation for mobile robots in real-world settings. This paper has garnered 4 citations, reflecting its relevance to researchers tackling similar problems in robotics and automation. Beyond navigation, Li has also contributed to the design of cooking robots. His 2021 study on the modular structure of a stir-frying device, controlled by a single-chip microcomputer, demonstrates his versatility in applying mechanical design principles to everyday tasks. This work, also cited 4 times, showcases his ability to integrate control systems with practical, user-focused applications. Li’s research is valuable for students and engineers interested in robust SLAM algorithms and the future of service robotics.