Papers
2
Total Citations
88
H-Index
2
About
Hongqi He is a researcher whose work centers on advancing path planning algorithms for mobile robot navigation, with a particular emphasis on improving efficiency, robustness, and adaptability. He is best known for developing an enhanced version of the A* algorithm, detailed in his highly cited 2021 paper "An Efficient and Robust Improved A* Algorithm for Path Planning," which has garnered 74 citations. This work addresses critical limitations in conventional and prior improved A* methods, offering a more reliable and computationally efficient solution for real-world robotic applications. Building on this foundation, He introduced "ETQ-learning: an improved Q-learning algorithm for path planning" in 2024, which applies reinforcement learning techniques to further optimize navigation in dynamic environments. His contributions are significant for autonomous systems, providing practical improvements that reduce computational overhead while maintaining path quality. With his research bridging classical heuristic search and modern machine learning approaches, Hongqi He is making a notable impact on the field of intelligent robotics and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1An Efficient and Robust Improved A* Algorithm for Path Planning74 citations · 2021
- 2ETQ-learning: an improved Q-learning algorithm for path planning14 citations · 2024