Youngsung Soh
Papers
1
Total Citations
3
H-Index
1
About
Youngsung Soh is a robotics researcher whose work focuses on autonomous navigation, sensor-based control, and network-aware mobile systems. His most cited paper, “Development of an Enhanced Obstacle Avoidance Algorithm for a Network-Based Autonomous Mobile Robot” (2010), addresses a critical challenge in real-time robotics: compensating for network delays in sensor data to improve obstacle avoidance. By integrating kinematic models with delayed sensor readings, Soh proposed a method that enhances the reliability and safety of autonomous mobile robots operating in networked environments. Though his citation count remains modest, this work contributes foundational insights into the intersection of communication latency and robotic perception—a growing concern in teleoperation and distributed robotics. Soh’s research is particularly relevant for students and engineers developing robust, delay-tolerant control systems for field robots or industrial automation. His approach underscores the importance of bridging theoretical control algorithms with practical network constraints, offering a stepping stone for future work in resilient autonomous systems.
Research Focus
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Top Papers
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