Jiahai Zheng
Papers
1
Total Citations
2
H-Index
1
About
Jiahai Zheng is a researcher focused on advancing autonomous navigation and path planning for mobile robots, with particular expertise in integrating global and local planning algorithms. Their most cited work, "Navigation Fusion Algorithm Based on Improved A* Algorithm and Dynamic Window Approach" (2021), proposes a novel hybrid method that enhances both efficiency and safety in indoor robot navigation. By optimizing the classic A* algorithm with fifth-order Bessel curves and fusing it with the Dynamic Window Approach, Zheng addresses critical challenges in real-time obstacle avoidance and smooth trajectory generation. This contribution, while still early in its citation impact (2 citations), demonstrates a practical engineering approach to a fundamental robotics problem. Zheng's work sits at the intersection of computational geometry, control theory, and artificial intelligence, offering a scalable solution for autonomous systems in cluttered environments. Their research is particularly relevant for students and engineers working on service robots, warehouse automation, or autonomous vehicles, providing a clear framework for combining global path optimization with local reactive control.
Research Focus
Key Achievements
Top Papers
- 1