Chung-Chih Tsai

Papers

Total Citations

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About

Chung-Chih Tsai is a researcher specializing in mobile robotics and computer vision, with a particular focus on autonomous navigation in outdoor environments. His most cited work, "Vision-Based Obstacle Detection for Mobile Robot in Outdoor Environment" (2018), has garnered 7 citations, establishing a foundation for practical, real-world robotic perception. Tsai’s core contributions lie in developing vision-driven obstacle detection systems that enable mobile robots to safely traverse unstructured outdoor terrains—a critical advancement for applications in agriculture, search-and-rescue, and autonomous delivery. By leveraging camera-based sensors rather than expensive LiDAR, his approach makes outdoor robotics more accessible and cost-effective. This work demonstrates his commitment to bridging the gap between theoretical computer vision algorithms and robust, deployable robotic systems. Tsai’s research continues to influence the design of perception pipelines for field robots, offering students and engineers a clear path from sensor data to actionable navigation decisions in dynamic, unpredictable settings.