Zhuang Yan

Shenyang Institute of Automation, Dalian University of Technology

Papers

Total Citations

H-Index

About

Zhuang Yan is a leading researcher in autonomous mobile robotics, with a primary focus on indoor navigation, mapping, and trajectory control. His foundational work on mobile robot indoor map building and pose tracking using laser scanning, published in 2005, established key techniques for line feature extraction and real-time localization that remain influential in the field. This paper has garnered 14 citations, reflecting its lasting impact on SLAM (Simultaneous Localization and Mapping) research. Yan further advanced the field with his 2005 study on discrete trajectory tracking control for wheeled mobile robots, which introduced a novel controller capable of handling both continuous and discrete trajectories—a critical contribution for nonholonomic vehicle systems. More recently, his 2019 work on autonomous exploration and navigation in large-scale indoor environments integrates ROS-based frameworks with 2D LiDAR data, enabling scalable and practical solutions for real-world deployment. Across his career, Yan’s research has consistently addressed the core challenges of autonomous navigation: from low-level control to high-level exploration and mapping. His contributions are particularly valued for bridging theoretical control methods with applied robotic systems, making his work essential reading for students and engineers developing autonomous vehicles and service robots.