Zhi Derui

Papers

Total Citations

H-Index

About

Zhi Derui is a robotics researcher whose work centers on advancing autonomous navigation for rescue robots operating in unknown, hazardous environments. His most-cited paper, "An Autonomous Navigation Strategy Based on Improved Hector SLAM With Dynamic Weighted A* Algorithm" (2023, 13 citations), tackles the critical challenge of balancing mapping accuracy with navigation efficiency. Derui's key contribution lies in enhancing the Hector SLAM framework by integrating Levenberg-Marquardt optimization for more robust scan matching, and coupling it with a dynamic weighted A* algorithm smoothed by Bezier curves. This approach enables rescue robots to generate more accurate maps and plan smoother, safer trajectories in real time, directly addressing the limitations of traditional methods in cluttered or unstructured settings. While his citation count is still growing, this work demonstrates a practical, systems-level contribution to field robotics. For students and researchers in autonomous systems, Derui's research offers a compelling case study in how incremental algorithmic improvements—particularly in sensor fusion and path smoothing—can yield significant performance gains for mission-critical applications like search and rescue.