Yongsoon Yoon
Papers
2
Total Citations
17
H-Index
2
About
Yongsoon Yoon is a researcher whose work centers on the control and coordination of autonomous wheeled robots, with a particular emphasis on safe navigation in unknown and multi-agent environments. His major contributions lie in the application of Model Predictive Control (MPC) to real-time obstacle avoidance and collision prevention. In his most cited work, "Obstacle Avoidance for Wheeled Robots in Unknown Environments using Model Predictive Control" (2008, 11 citations), Yoon demonstrated how MPC can be effectively used to navigate robots through uncharted spaces while respecting kinematic constraints. He further advanced this field in "Communication in distributed model predictive collision avoidance" (2007, 6 citations), where he introduced a framework for multiple car-like robots to share information online, enabling them to avoid collisions through a distributed, cost-minimizing optimization problem. Though his citation counts are modest, these papers represent foundational steps in integrating real-time communication with predictive control for multi-robot systems. Yoon’s work is particularly notable for its practical focus on constraint satisfaction and online adaptability, making it a valuable reference for researchers exploring decentralized robot coordination and safe autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Communication in distributed model predictive collision avoidance6 citations · 2007