Zhiwen Leng

Wuhan Ship Development & Design Institute

Papers

Total Citations

H-Index

About

Dr. Zhiwen Leng is a researcher in robotics and intelligent control systems, with a primary focus on path planning and optimization algorithms for mobile robots. Their most notable contribution is the development of an improved Ant Colony Optimization (ACO) algorithm, detailed in their highly cited 2021 paper (16 citations). This work directly addresses critical limitations in traditional ACO—namely, susceptibility to local optima, excessive path length, and inefficient turning maneuvers during robot navigation. By introducing a method to randomly set ant walkable positions, Dr. Leng’s algorithm significantly enhances search efficiency and path quality, offering a more robust solution for autonomous mobile robot movement in complex environments. This research holds practical implications for logistics, warehouse automation, and service robotics. With 16 citations on this single paper, Dr. Leng’s work is gaining traction among peers seeking to refine heuristic-based navigation. Their contributions represent a meaningful step forward in making autonomous robots more reliable and energy-efficient, positioning them as a promising voice in the field of intelligent path planning.