Papers
1
Total Citations
130
H-Index
1
About
Hanxi Lin is a prominent researcher in the field of autonomous mobile robotics, with a core focus on path planning and multi-objective optimization. Their most influential work, "Combined improved A* and greedy algorithm for path planning of multi-objective mobile robot" (2022), has garnered 130 citations, underscoring its significance in advancing efficient navigation strategies for autonomous systems. In this study, Lin ingeniously integrates an enhanced A* algorithm with a greedy algorithm, optimizing the evaluation function to solve complex multi-objective path planning challenges. This contribution addresses a critical bottleneck in artificial intelligence-driven robotics, enabling more adaptive and resource-efficient movement in dynamic environments. Lin’s research not only bridges theoretical algorithm design with practical robotic applications but also provides a scalable framework for real-time decision-making. By tackling the trade-off between computational speed and path optimality, their work has become a cornerstone for subsequent studies in mobile robot autonomy. For students and researchers exploring intelligent navigation, Hanxi Lin’s innovative hybrid approach offers a compelling model for solving real-world robotic pathfinding problems, demonstrating how algorithmic synergy can push the boundaries of autonomous system performance.
Research Focus
Key Achievements
Top Papers
- 1