Jiehua Zhou

Aviation Industry Corporation of China (China), Nanchang Hangkong University

Papers

Total Citations

H-Index

About

Jiehua Zhou is a researcher specializing in intelligent robotics, with a particular focus on path planning and simultaneous localization and mapping (SLAM) for autonomous mobile systems. His work addresses critical challenges in real-world robotic navigation, from large-scale outdoor environments to indoor settings. Zhou’s most cited paper, “Research on Path Planning Algorithm of Intelligent Mowing Robot Used in Large Airport Lawn” (2016, 26 citations), introduces a novel “p-d” circuitous path planning algorithm that significantly improves efficiency in rectangular work regions, offering a practical solution for autonomous lawn maintenance in expansive areas. His subsequent study, “Optimization Design and Experimental Study of Gmapping Algorithm” (2020, 16 citations), tackles the computational and real-time performance limitations of traditional particle filter-based SLAM by enhancing the Rao-Blackwellized particle filter approach. This work demonstrates Zhou’s commitment to improving the accuracy and speed of indoor robot localization and mapping. Together, these contributions highlight his impact on advancing intelligent robot autonomy, with applications ranging from airport infrastructure to indoor service robotics.