Shu-dong Shun
Papers
1
Total Citations
3
H-Index
1
About
Dr. Shu-dong Shun is a robotics researcher whose work centers on autonomous navigation and collision avoidance for mobile robots operating in dynamic, uncertain environments. His most-cited paper, "Local Path Planning of Mobile Robots in Dynamic Unknown Environment Based on Prediction of Collision" (2009), introduces a novel approach that uses an adaptive Unscented Kalman Filter to observe obstacle velocities and distributions. By predicting potential collision regions and strategically expanding dangerous zones, Dr. Shun’s method enables robots to find optimal, safe paths in real time, significantly enhancing operational security. Though his citation count is modest—with 3 citations for this key work—his contribution is notable for its practical focus on predictive safety in robotics, a critical area for autonomous systems. Dr. Shun’s research bridges theoretical filtering techniques with applied path planning, offering a foundation for future work in intelligent vehicle navigation and human-robot interaction. His approach remains relevant for researchers tackling the challenges of real-world robot autonomy.
Research Focus
Key Achievements
Top Papers
- 1