Chengning Zhang

Ningbo Institute of Industrial Technology, Beijing Institute of Technology

Papers

Total Citations

111

H-Index

About

Chengning Zhang is a leading researcher in mobile robotics, with a primary focus on localization, navigation, and odometry for autonomous systems. His seminal work, “Localization and navigation using QR code for mobile robot in indoor environment” (2015, 108 citations), pioneered a landmark-based approach that leverages QR codes as global pose references, providing a cost-effective and reliable solution for indoor robot positioning. This contribution has become a foundational reference for researchers developing practical navigation systems in GPS-denied environments. More recently, Zhang has advanced the field of 3D LiDAR perception with his 2024 paper on “A 3D Lidar Odometry and Mapping Method Based on Clustering-Directed Feature Point,” which introduces the CDP-LOAM method. By employing a seven-dimensional clustering strategy to extract robust feature points, this work significantly improves attitude estimation accuracy for robot motion decision-making. Zhang’s research bridges the gap between low-cost landmark-based navigation and high-precision LiDAR mapping, demonstrating sustained innovation across two decades. His work continues to influence both academic research and real-world robotic applications, from warehouse automation to autonomous exploration.