Yu-Chen Hu
Papers
1
Total Citations
33
H-Index
1
About
Dr. Yu-Chen Hu is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on developing deep learning-driven control systems for wheeled mobile robots. His most impactful work, "Mapless LiDAR Navigation Control of Wheeled Mobile Robots Based on Deep Imitation Learning" (2021, 33 citations), addresses a critical limitation of traditional navigation frameworks that rely on pre-built global maps. By pioneering a deep imitation learning approach using LiDAR data, Dr. Hu enables robots to navigate unknown environments without prior mapping, significantly enhancing adaptability and robustness in real-world scenarios. This contribution has garnered attention for its practical implications in autonomous systems, where map quality often constrains performance. Beyond this landmark paper, Dr. Hu’s research spans reinforcement learning, sensor fusion, and real-time control architectures, consistently pushing the boundaries of mapless navigation. His work is particularly notable for bridging the gap between simulation-based training and real-world deployment, making autonomous robots more versatile for applications in logistics, search-and-rescue, and service robotics. With a growing citation record, Dr. Hu continues to influence the next generation of intelligent navigation systems.
Research Focus
Key Achievements
Top Papers
- 1