Zehao Li
Papers
1
Total Citations
10
H-Index
1
About
Zehao Li is a robotics researcher whose work centers on human-robot interaction, multi-sensor fusion, and autonomous mobile systems. His most cited paper, "Advanced Multi-Sensor Person-Following System on a Mobile Robot: Design, Construction and Measurements" (2024, 10 citations), addresses a critical challenge in collaborative robotics: enabling robots to reliably follow humans through unpredictable environments. Li’s major contribution lies in integrating multiple sensor modalities—such as LiDAR, cameras, and depth sensors—to create robust person-tracking algorithms that function in real-world, dynamic settings. This work has direct implications for manufacturing, healthcare, and social robotics, where seamless human-robot collaboration is essential. By tackling the inherent flexibility and unpredictability of human movement, Li’s system improves both safety and autonomy in human-robot teams. His research is notable for bridging the gap between theoretical sensor fusion and practical robotic deployment, offering a scalable solution for industries seeking to integrate mobile robots into human-centric workflows. With growing citation impact, Li is establishing himself as a rising contributor to the field of autonomous robotics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1