Zhengxiong Li
Papers
1
Total Citations
2
H-Index
1
About
Zhengxiong Li is a researcher specializing in human-robot interaction, computer vision, and autonomous mobile robotics, with a particular focus on person-following systems for service robots. His most notable contribution is the development of a skeleton and visual tracking fusion method that addresses critical challenges in real-world robotic applications—specifically, the loss of human skeleton data and body occlusion during person-following tasks. By integrating a human skeleton tracker with a discriminative correlation filter incorporating channel and spatial reliability, Li’s approach enables mobile service robots to maintain robust, real-time tracking even under difficult conditions. This work, published in 2020, has garnered 2 citations and represents a practical step toward more reliable autonomous navigation in dynamic environments. Li’s research bridges the gap between computer vision algorithms and robotic control, offering solutions that enhance the safety and efficiency of service robots in settings such as healthcare, hospitality, and domestic assistance. His work is particularly relevant for students and researchers interested in sensor fusion, real-time tracking, and the deployment of intelligent robots in human-centered spaces.
Research Focus
Key Achievements
Top Papers
- 1