Yicai Sun
Papers
1
Total Citations
39
H-Index
1
About
Yicai Sun is a pioneer in mobile robotics and sensor-based localization, with a foundational focus on adaptive filtering techniques for autonomous navigation. His most influential work, "Adaptive extended Kalman filter (AEKF)-based mobile robot localization using sonar" (2000, 39 citations), introduced a novel AEKF algorithm that enables precise localization of mobile robots in indoor structured environments using only eight Polaroid sonars. This research established a robust framework by integrating system state equations with sonar measurement models, significantly improving the accuracy and adaptability of robot positioning under real-world noise conditions. Sun's contributions are critical to the development of low-cost, sensor-efficient navigation systems, influencing subsequent work in autonomous robotics and sensor fusion. His work remains a reference point for researchers exploring adaptive estimation methods in robotics, demonstrating how intelligent filtering can overcome the limitations of traditional localization approaches.
Research Focus
Key Achievements
Top Papers
- 1