Luodi Zhao
Papers
1
Total Citations
17
H-Index
1
About
Luodi Zhao is a researcher whose work lies at the intersection of robotics, artificial intelligence, and autonomous navigation. Her most-cited paper, "The 3D Path Planning Based on A* Algorithm and Artificial Potential Field for the Rotary-Wing Flying Robot" (2016, 17 citations), presents a novel fusion algorithm that combines an improved A* algorithm with an artificial potential field method, optimized specifically for three-dimensional mountain environments. This work addresses a critical challenge in aerial robotics: enabling rotary-wing flying robots to navigate complex, obstacle-rich terrains efficiently and safely. By integrating the global search capability of A* with the local obstacle avoidance of potential fields, Zhao's approach offers a more robust solution for 3D path planning. Her contributions are significant for advancing autonomous drone operations in real-world, unstructured environments, such as search-and-rescue missions or terrain mapping. While her citation count reflects a growing recognition, her work stands out for its practical engineering focus and algorithmic innovation, making it a valuable reference for researchers in robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1