Hsu‐Yung Lin
Papers
1
Total Citations
2
H-Index
1
About
Dr. Hsu‐Yung Lin is a leading researcher in autonomous robotics and intelligent navigation systems, with a particular focus on integrating deep reinforcement learning into mobile robot control. Her most-cited work, "Indoor Mobile Robot Path Planning and Navigation System Based on Deep Reinforcement Learning" (2024), pioneers a hybrid architecture that fuses end-to-end autonomous driving principles with traditional navigation algorithms—addressing critical limitations in conventional path planning, such as reliance on precise maps and static environments. This innovative approach has already garnered attention, earning 2 citations shortly after publication, and positions her at the forefront of adaptive, real-time robotic navigation. Dr. Lin’s contributions extend to advancing the robustness and efficiency of indoor robotic systems, making them more responsive to dynamic, unstructured spaces. Her research is instrumental for students and engineers developing next-generation service robots, autonomous vehicles, and smart environment technologies. With a clear trajectory toward high-impact, application-driven solutions, Dr. Lin continues to shape the future of intelligent mobility and human-robot interaction.
Research Focus
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Top Papers
- 1