Li‐Hsin Chen
Papers
1
Total Citations
33
H-Index
1
About
Li‐Hsin Chen is a robotics researcher whose work centers on advancing autonomous navigation in complex, unstructured environments. His primary research areas include simultaneous localization and mapping (SLAM), sensor fusion, and robust perception for mobile robots. Chen’s most notable contribution is his development of a robust 2D-SLAM technology that adapts to environmental variations—a critical challenge for robots operating across both indoor and outdoor settings. His 2019 paper on this topic, which has garnered 33 citations, introduces a portable, standalone SLAM system capable of maintaining accurate pose estimation despite dynamic changes in the surroundings. This work addresses the growing demand for high-mobility, high-integrity intelligent robotics, offering a practical solution for real-world deployment. Chen’s research has significant implications for applications in search-and-rescue, industrial automation, and autonomous exploration, where reliable navigation without external infrastructure is essential. By focusing on adaptability and robustness, he has helped bridge the gap between theoretical SLAM algorithms and field-ready robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A Robust 2D-SLAM Technology With Environmental Variation Adaptability33 citations · 2019