Li Shi

Papers

1

Total Citations

3

H-Index

1

About

Li Shi is a researcher in computer vision and robotics, with a primary focus on developing intelligent systems for human-robot interaction and autonomous navigation. Their most cited work, "Vision Based People Tracking System" (2019), presents a robust framework for detecting and tracking moving individuals in video sequences, designed for seamless integration into mobile robot platforms. This contribution addresses a critical challenge in robotics—enabling machines to perceive and follow human targets in real time—laying groundwork for applications in assistive robotics, surveillance, and autonomous guidance. While their citation count of 3 reflects an emerging career, the paper’s practical system design, combining detection and tracking modules, demonstrates a clear engineering contribution to vision-based robotics. Li Shi’s work underscores a commitment to bridging computer vision algorithms with real-world robotic systems, offering a foundation for future advancements in responsive, human-aware automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Vision Based People Tracking System
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago