Fangxiao Wang

Papers

Total Citations

150

H-Index

About

Fangxiao Wang is a leading researcher in mobile robotics, specializing in global path planning for wheeled and mobile robots. His work focuses on developing advanced multi-objective memetic algorithms that simultaneously optimize critical path metrics such as length, smoothness, and safety. Wang’s most influential contribution is his 2015 paper, "Global path planning of wheeled robots using multi-objective memetic algorithms," which has garnered 97 citations and is widely recognized for its novel integration of evolutionary computation with local path refinement. His earlier 2013 paper, "Global path planning of mobile robots using a memetic algorithm" (42 citations), established the foundation for this approach by synergizing genetic algorithms with local optimization techniques. Wang’s research addresses the fundamental challenge of finding collision-free paths that balance competing objectives, a problem central to autonomous navigation. His work has been cited extensively in robotics and artificial intelligence literature, reflecting its impact on both theoretical algorithm design and practical robot deployment. Wang’s contributions continue to influence the development of efficient, multi-objective path planning methods for autonomous systems.