Jiahao Lyu

Xi'an University of Science and Technology

Papers

Total Citations

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About

Jiahao Lyu is an emerging researcher in robotics and autonomous navigation, with a primary focus on mobile robot path planning. His work addresses the critical challenge of enabling robots to navigate efficiently and intelligently in dynamic environments. Lyu’s most notable contribution is the development of CLSQL, an improved Q-Learning algorithm that integrates a continuous local search policy to overcome the blind selection problem in early-stage reinforcement learning. This work, published in 2022, has already garnered 21 citations, signaling its relevance to the field. Additionally, Lyu proposed the Focused D* Lite (FDL) algorithm, which enhances the traditional D* Lite by optimizing node and line adjustments to reduce search costs and redundancy. Together, these contributions demonstrate Lyu’s commitment to advancing both model-free and heuristic-based approaches for path planning. His research is particularly valuable for applications in autonomous vehicles, warehouse logistics, and service robotics. As a rising scholar, Jiahao Lyu is establishing a strong foundation for future innovations in intelligent robotic systems.