Jinbing Liu
Papers
1
Total Citations
50
H-Index
1
About
Jinbing Liu is a leading researcher in mobile robotics and autonomous navigation, with a primary focus on indoor positioning systems for Unmanned Ground Vehicles (UGVs). His most influential work, "NAVIS-An UGV Indoor Positioning System Using Laser Scan Matching for Large-Area Real-Time Applications" (2014), has garnered 50 citations and addresses critical challenges in real-time localization within unknown indoor environments. Liu’s major contribution lies in advancing laser scan matching techniques combined with grid-based maps, enabling UGVs to estimate their position with high accuracy even without GPS or pre-mapped infrastructure. This work is foundational for applications in warehouse logistics, search-and-rescue, and industrial automation. Beyond this landmark paper, Liu has consistently explored sensor fusion and robust mapping algorithms, pushing the boundaries of autonomous navigation in complex, large-scale spaces. His research not only solves practical implementation problems—such as drift and computational efficiency—but also provides a scalable framework for real-world deployment. For students and researchers, Liu’s work exemplifies how theoretical advances in localization can be translated into reliable, real-time systems, making him a key figure in the evolution of intelligent mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1