Guan‐Ting Liu

National Yunlin University of Science and Technology

Papers

Total Citations

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About

Guan‐Ting Liu is a researcher specializing in autonomous robotics, with a focus on precision navigation and path planning for outdoor robotic systems. His key contributions lie in the development of efficient coverage path planning algorithms, particularly for robotic lawnmowers, where he integrates RTK-GPS localization to achieve high-accuracy autonomous operation. His most cited work, "Path Planning Algorithm for Robotic Lawnmower using RTK-GPS Localization" (2020), addresses the growing demand for intelligent lawn maintenance by proposing a complete coverage path planning method that optimizes efficiency and reliability in real-world environments. This work has garnered 3 citations, reflecting its relevance in the emerging field of service robotics. Liu’s research is notable for bridging the gap between theoretical path planning and practical deployment, tackling challenges such as localization precision and energy efficiency. His achievements contribute to the broader advancement of autonomous ground vehicles, with potential applications in agriculture, landscaping, and smart city infrastructure. As the adoption of automatic lawnmowers accelerates, Liu’s work provides a foundational framework for future innovations in robotic navigation and coverage optimization.