Zhanming Lu

Yankuang Energy Group Company Limited (China), Inner Mongolia Electric Power (China)

Papers

Total Citations

H-Index

About

Zhanming Lu is a researcher specializing in autonomous robotics and intelligent navigation systems, with a focus on path planning for autonomous underwater vehicles (AUVs) and mobile robots in dynamic environments. His most-cited work, "AUV Path Planning under Ocean Current Based on Reinforcement Learning in Electronic Chart" (2013, 20 citations), introduces a novel approach that integrates reinforcement learning with electronic chart data to enable AUVs to navigate efficiently through ocean currents—a critical contribution to marine exploration and oceanography. This work addresses the challenge of dynamic underwater environments, enhancing the autonomy and safety of unmanned underwater robots. Lu further advances the field with his paper "Guide Circle-based Improved Ant Colony Algorithm" (2020, 3 citations), which combines traditional ant colony optimization with a guide circle method to improve local path planning for autonomous mobile robots in unknown settings. While his citation counts reflect a growing impact, his research bridges practical applications in deep-sea resource investigation and autonomous navigation, offering foundational insights for students and researchers in robotics, artificial intelligence, and marine engineering.