Shoudong Shi
Papers
1
Total Citations
4
H-Index
1
About
Shoudong Shi is a researcher whose work lies at the intersection of robotics, computer vision, and autonomous navigation, with a particular focus on simultaneous localization and mapping (SLAM) for mobile robots in indoor environments. His most cited paper, "A SLAM Algorithm Based on CCD Image and Odometer for Mobile Robot in Indoor Environment" (2008), addresses a fundamental challenge in robotics: enabling a robot to navigate and build a map of an unknown space using only a CCD camera and odometer data. This contribution is notable for its practical, sensor-fusion approach, combining visual and wheel-encoder inputs to improve localization accuracy and mapping reliability—a critical step for real-world deployment of service and industrial robots. While his citation count (4 for this work) reflects a niche but focused impact, Shi’s research has influenced subsequent studies in low-cost, vision-based SLAM systems. His work underscores the importance of integrating simple, accessible sensors to solve complex navigation problems, making it particularly relevant for students and researchers exploring efficient, real-time robotic perception in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1