Yunfu Shen
Papers
1
Total Citations
3
H-Index
1
About
Yunfu Shen is a researcher focused on intelligent robotics and autonomous systems, with particular expertise in pedestrian detection and environmental perception for service robots. His most notable contribution is the design and implementation of a campus pedestrian detection system integrated into the unmanned robot “Sweeper,” developed at Shanghai Sanda University. By employing blob analysis techniques, Shen enhanced the robot’s ability to detect and avoid pedestrians in real-world campus environments, using a dataset of over 300 images to improve target detection accuracy and ground cleaning functionality. This work, published in 2022, has garnered 3 citations and represents a practical application of computer vision in autonomous sanitation robotics. Shen’s research bridges the gap between theoretical detection algorithms and real-world deployment, addressing key challenges in safe human-robot interaction. His contributions are particularly relevant for advancing autonomous cleaning systems in educational and public spaces, demonstrating how low-cost, efficient vision-based methods can enhance robot autonomy and operational safety.
Research Focus
Key Achievements
Top Papers
- 1