Chun‐I Li

Papers

Total Citations

H-Index

About

Chun-I Li is a robotics researcher whose work centers on autonomous localization and computer vision for humanoid robots, particularly within the competitive framework of the RoboCup soccer league. His most notable contribution is the development of a Stereo Vision-Based Self-Localization System (SVBSLS), which enables humanoid robots to determine their position and orientation on the field by fusing data from pan/tilt motors with stereo vision. This system, designed to comply with the 2010 RoboCup humanoid league rules, allows robots to measure distances accurately and navigate autonomously without external markers. While his most-cited paper has garnered 6 citations, its impact lies in advancing practical, vision-driven localization for resource-constrained platforms. Li’s work addresses a core challenge in robotics—self-localization in dynamic, unstructured environments—and contributes to the broader field of autonomous navigation. His research exemplifies the integration of sensor fusion and real-time vision processing, offering a foundation for students and researchers interested in applying stereo vision to mobile robotics and competition-based AI systems.