Fang Guo-wei

Naval Aeronautical and Astronautical University

Papers

Total Citations

H-Index

About

Fang Guo-wei is a researcher focused on advancing autonomous navigation and mobile robotics, with a particular emphasis on path planning in complex, obstacle-rich environments. Their most notable contribution, the 2019 paper "Mobile robot path planning in complex environment," addresses the critical challenge of task-oriented trajectory generation under time constraints. By integrating robot kinematics with constant-speed motion models, Fang developed a method that selects optimal route points to navigate multi-obstacle scenarios efficiently. This work, which has garnered 3 citations, lays foundational groundwork for real-world applications such as warehouse automation, search-and-rescue operations, and autonomous exploration. Fang’s research bridges theoretical motion planning with practical constraints, offering solutions that balance computational feasibility and operational safety. Their contributions are particularly relevant for students and engineers seeking to understand how to adapt classical path planning algorithms to dynamic, cluttered settings. Fang Guo-wei’s work continues to inspire further studies in robust, time-sensitive navigation for mobile robots.