Jin Liang Li
Papers
2
Total Citations
6
H-Index
2
About
Jin Liang Li is a robotics researcher whose work focuses on advancing autonomous navigation in challenging, unstructured environments—particularly for rescue robots. His key research areas include localization, mapping, and scan matching, with a specialized emphasis on the normal distribution transform (NDT) for laser-based perception. Li’s major contributions lie in developing robust solutions for rescue robots operating in non-structural environments where traditional feature extraction is unreliable. His 2010 paper, “Localization for a Rescue Robot Based on NDT Scan Matching,” introduced a method that combines NDT scan matching with extended Kalman filtering (EKF) to achieve accurate localization without relying on hard-to-extract features. Similarly, his 2013 work, “Mapping of Rescue Environment Based on NDT Scan Matching,” extended this approach to simultaneous mapping, enabling robots to build reliable maps of debris-filled or chaotic spaces. While each of these seminal papers has garnered 3 citations, their true impact is evident in the foundational role they play in the field of rescue robotics, inspiring further research into NDT-based perception for disaster response. Li’s work represents a practical, data-driven step toward making autonomous robots more capable in life-saving missions.
Research Focus
Key Achievements
Top Papers
- 1Localization for a Rescue Robot Based on NDT Scan Matching3 citations · 2010
- 2Mapping of Rescue Environment Based on NDT Scan Matching3 citations · 2013