Won-Sang Ra
Papers
2
Total Citations
6
H-Index
2
About
Won-Sang Ra is a researcher specializing in sensor-based robotics and estimation theory, with a focus on developing robust, low-cost solutions for mobile robot navigation and target tracking. His key research areas include bearing angle estimation, ultrasonic sensing, and gimbal control systems for autonomous platforms. Ra’s major contributions center on advancing the practical use of one-axis gimballed ultrasonic seekers—affordable sensors that can estimate a target’s bearing angle with high accuracy despite challenging conditions. In his 2017 paper on robust bearing angle error estimation for mobile robots, he introduced methods to mitigate errors in these low-cost systems, enabling reliable target localization without expensive hardware. This work, along with a companion study on robust bearing angle estimators, has garnered foundational citations (4 and 2, respectively) from peers exploring cost-effective sensing in robotics. Ra’s research is notable for bridging theoretical estimation algorithms with real-world applications, making autonomous navigation more accessible. His achievements include designing estimators that assume only basic gimbal control and ultrasonic transmission, simplifying deployment in mobile robots. For students and researchers, Ra’s work exemplifies how clever algorithmic design can overcome sensor limitations, offering a pathway to affordable robotics solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2