Yuanmin Liu
Papers
1
Total Citations
20
H-Index
1
About
Yuanmin Liu is a leading researcher in autonomous navigation and path planning, with a focus on optimizing time-cost efficiency in complex environments. Their most-cited work, "A passage time–cost optimal A* algorithm for cross-country path planning" (2024, 20 citations), introduces a novel adaptation of the A* algorithm that prioritizes passage time as a critical cost factor, addressing real-world challenges in logistics distribution, emergency rescue, and autonomous driving. This contribution bridges the gap between theoretical path planning and practical applications where minimizing travel time is paramount, such as in disaster response or time-sensitive delivery systems. Liu’s research integrates multi-objective optimization with heuristic search methods, offering scalable solutions for cross-country terrains. Their work has been recognized for its potential to enhance robot navigation and autonomous vehicle efficiency, with growing impact in both academic and applied fields. By redefining cost metrics in path planning, Liu has advanced the state of the art, making their research indispensable for engineers and scientists developing next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A passage time–cost optimal A* algorithm for cross-country path planning20 citations · 2024