Papers
1
Total Citations
8
H-Index
1
About
Shiya Qu is a rising figure in mobile robotics, whose work focuses on intelligent path planning and dynamic obstacle avoidance. Qu’s most cited research, “Robot Path Planning Research Incorporating Improved A* Algorithm and DWA Algorithm” (2023), tackles a critical challenge in autonomous navigation: balancing global route efficiency with real-time adaptability. By refining the traditional A* algorithm to reduce path length and node count, and then integrating it with an enhanced Dynamic Window Approach (DWA), Qu developed a hybrid method that enables robots to navigate complex, dynamic environments safely. This contribution directly addresses the limitations of static planning in unpredictable settings, offering a practical solution for real-world deployment. With 8 citations in a short time, the work is gaining traction among researchers in robotics and artificial intelligence. Qu’s innovative fusion of global and local planning strategies marks a significant step toward more robust, responsive autonomous systems, positioning them as a promising contributor to the future of intelligent navigation.
Research Focus
Key Achievements
Top Papers
- 1