Kuan‐Chi Wang

National Yunlin University of Science and Technology

Papers

Total Citations

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About

Kuan-Chi Wang is a robotics researcher whose work focuses on advancing autonomous navigation and precision localization for field robots. His primary research areas include path planning algorithms, GPS-based localization systems, and the development of intelligent autonomous machinery for outdoor environments. Wang’s most notable contribution is his work on a complete coverage path planning algorithm for robotic lawnmowers, which leverages RTK-GPS for high-precision localization. This algorithm addresses the critical challenge of efficient and systematic area coverage, enabling autonomous lawnmowers to navigate complex outdoor spaces without human intervention. His 2020 paper on this topic has garnered 3 citations, reflecting its relevance in the growing field of agricultural and domestic robotics. Wang’s research is particularly significant as it bridges the gap between theoretical path planning and practical deployment, offering a scalable solution for real-world applications in smart homes and public landscaping. By improving the efficiency and reliability of autonomous ground vehicles, Kuan-Chi Wang is contributing to the broader adoption of robotics in everyday life, making his work a valuable resource for students and researchers interested in autonomous navigation and precision agriculture.