Papers
1
Total Citations
63
H-Index
1
About
Ziyu Liu is a leading researcher in robotics and indoor positioning systems, with a focus on fusing visible light positioning (VLP) with simultaneous localization and mapping (SLAM) to enable robust robot navigation. In their highly cited 2021 work, “Robot Localization and Navigation Using Visible Light Positioning and SLAM Fusion” (63 citations), Liu tackled a critical limitation of VLP—its dependence on dense LED arrays and uninterrupted line-of-sight—by integrating SLAM algorithms that maintain accuracy even under sparse lighting and partial occlusion. This fusion approach allows robots to navigate reliably in complex indoor environments where traditional VLP alone would fail. Liu’s contributions are pivotal for advancing autonomous systems in warehouses, hospitals, and smart buildings, bridging the gap between low-cost optical sensing and high-precision localization. By addressing real-world constraints like intermittent signal loss, Liu’s work has inspired further research into hybrid sensor fusion, making them a key figure in the evolution of practical, infrastructure-light indoor robotics.
Research Focus
Key Achievements
Top Papers
- 1