Jiahao Lu

Papers

Total Citations

H-Index

About

Jiahao Lu is a researcher specializing in mobile robotics and path planning algorithms, with a particular focus on heuristic optimization techniques. His most cited work, "Application of heuristic function optimization strategy of A* algorithm in path planning of mobile robot" (2024), has garnered 3 citations, marking a promising early impact in the field. Lu’s primary contribution lies in systematically examining and comparing multiple optimization strategies for the A* algorithm’s heuristic function, aiming to enhance both search efficiency and path quality in mobile robot navigation. By rigorously testing these strategies through simulations, he has provided valuable insights into how heuristic adjustments can reduce computational overhead while improving route optimality—a critical challenge for autonomous systems operating in dynamic environments. His work bridges theoretical algorithm design with practical robotic applications, offering a foundation for future advancements in real-time path planning. As an emerging voice in robotics, Jiahao Lu’s research holds significant potential for influencing the development of more intelligent and efficient mobile robots, particularly in logistics, exploration, and service automation.