Fuhao Liu
Papers
1
Total Citations
7
H-Index
1
About
Fuhao Liu is an emerging researcher in the field of robotics and autonomous navigation, with a focus on path planning and motion control algorithms. His most cited work, "Research on robot path planning based on fused Dijkstra and TEB algorithms" (2025), introduces a novel hybrid approach that combines the global optimality of the Dijkstra algorithm with the local flexibility of the Timed Elastic Band (TEB) method. This fusion significantly enhances robot navigation efficiency in complex environments, reducing computational overhead while maintaining smooth, collision-free trajectories. With 7 citations already in its first year, the paper signals growing interest in Liu’s contributions to real-time path optimization. His research addresses critical challenges in mobile robotics, including obstacle avoidance and dynamic replanning, making his work relevant for applications in warehouse automation, service robots, and autonomous vehicles. As an early-career scholar, Liu’s ability to integrate classical algorithms with modern control strategies demonstrates a strong foundation for future breakthroughs. His work is particularly valuable for students and engineers seeking practical, computationally efficient solutions for real-world robotic navigation.
Research Focus
Key Achievements
Top Papers
- 1