Jiahao Lv

Xi'an University of Science and Technology

Papers

Total Citations

H-Index

About

Jiahao Lv is a researcher focused on advancing robotic path planning and autonomous navigation, particularly in constrained underground environments. His most-cited work, "Downhole robot path planning based on improved D* algorithm" (2020, 4 citations), addresses critical limitations in traditional D* algorithms—specifically, the tendency for paths to approach obstacles too closely. Lv’s key contribution lies in enhancing both the distance function and the selection of child nodes, replacing Euclidean distances with a more robust metric to improve safety and efficiency. This work demonstrates his commitment to solving real-world challenges in subterranean robotics, where precision and obstacle avoidance are paramount. While his citation count is modest, the practical significance of his algorithm improvements offers a foundation for future research in hazardous or confined-space navigation. Lv’s research sits at the intersection of robotics, control systems, and optimization, with potential applications in mining, tunnel inspection, and search-and-rescue operations. His work underscores the importance of algorithmic refinement in enabling reliable autonomous systems for extreme environments.