Kuangwei Tong

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Kuangwei Tong is a leading researcher in mobile robotics and swarm intelligence, with a particular focus on path planning optimization. His most impactful work introduces a novel path planning method for mobile robots using an improved bat algorithm, which has garnered 11 citations since its 2020 publication. Tong's key contribution lies in addressing the critical challenge of premature convergence in metaheuristic algorithms—a common bottleneck in robotic navigation. By integrating linear inertial weights and Lévy flight mechanisms into the bat algorithm, he developed a more robust solution that balances global exploration and local exploitation, enabling safer and more efficient autonomous navigation in complex environments. This work demonstrates Tong's expertise in fusing bio-inspired computation with practical robotics, offering a scalable framework for real-world applications like warehouse automation and search-and-rescue missions. His research bridges theoretical algorithm design and applied engineering, making him a notable figure in the growing field of intelligent robotic systems. Tong's ongoing work continues to push the boundaries of how mobile robots perceive and traverse dynamic spaces.