Seoyong Shin
Papers
6
Total Citations
59
H-Index
5
About
Seoyong Shin is a robotics and intelligent systems researcher whose work centers on autonomous mobile robot navigation, collision avoidance, and sensor-based control systems. Based at the Department of Information and Communication Engineering at Myongji University in South Korea, Shin has made significant contributions to the development of safer, smarter robotic platforms capable of operating in uncertain real-world environments. His most influential work focuses on integrated tracking and accident avoidance systems for mobile robots, drawing inspiration from intelligent transportation systems to address one of robotics' most persistent challenges: reliable collision prevention. Through the development of Collision Warning and Avoidance Systems (CWAS) and sensor-driven autonomous navigation frameworks, Shin's research bridges the gap between vehicular safety technologies and robotic applications. His 2013 paper on integrated tracking and accident avoidance stands as his most cited contribution, with 17 citations, reflecting the field's recognition of his approach. Shin has also explored fuzzy logic-based object following controllers and distance control algorithms, demonstrating a broad command of intelligent control methodologies. Collectively, his body of work has accumulated nearly 60 citations, establishing him as a meaningful contributor to the advancement of autonomous robotic safety systems.
Research Focus
Key Achievements
Top Papers
- 1Integrated tracking and accident avoidance system for mobile robots17 citations · 2013
- 2Integrated collision avoidance and tracking system for mobile robot11 citations · 2012
- 3Sensor-Based Robotic Model for Vehicle Accident Avoidance10 citations · 2012
- 4Sensor-Based Autonomous Robot Navigation with Distance Control9 citations · 2012
- 5Mobile robot navigation with distance control8 citations · 2012
- 6Object Following Fuzzy Controller for a Mobile Robot4 citations · 2012
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