Xiangmin Li

Papers

Total Citations

H-Index

About

Dr. Xiangmin Li is a distinguished researcher in the fields of robotics, swarm intelligence, and optimization algorithms, with a particular focus on advancing autonomous navigation systems. Their most notable contribution is the development of an improved Artificial Bee Colony (ABC) algorithm for robot path planning, which addresses critical challenges in map environment modeling and path optimization. This seminal work, published in 2018, has garnered 10 citations and demonstrates Dr. Li's expertise in transforming complex robotic movement problems into efficient optimization tasks. By integrating bio-inspired computational methods with practical robotic applications, Dr. Li has significantly enhanced the efficiency and reliability of autonomous pathfinding in dynamic environments. Their research bridges the gap between theoretical algorithm design and real-world robotic implementation, offering innovative solutions that reduce computational overhead while improving path quality. Dr. Li's work continues to influence the development of intelligent robotic systems, making them a respected figure in the intersection of artificial intelligence and robotics engineering.