Shuang Duan
Papers
1
Total Citations
6
H-Index
1
About
Shuang Duan is a robotics researcher whose work centers on autonomous navigation, path planning, and the development of simulation platforms for intelligent systems. Their most significant contribution is the creation of the **Robot Navigation Analysis Platform (RoNAP)**, a generalized framework introduced in their highly cited 2022 paper. This platform provides a unified environment for testing and visually comparing multiple navigation algorithms—such as A*, Dijkstra, and Rapidly-exploring Random Trees—against both stationary and moving obstacles. By enabling researchers to benchmark performance in a standardized, visual manner, Duan’s work bridges the gap between theoretical algorithm design and practical deployment. The platform’s impact is reflected in its growing citation count (6), signaling its adoption as a valuable tool for the robotics community. Duan’s research is particularly notable for its emphasis on reproducibility and accessible visual results, making complex navigation comparisons intuitive for students and engineers alike. This work positions Duan as a key contributor to the advancement of reliable, real-world robotic navigation systems.
Research Focus
Key Achievements
Top Papers
- 1