Papers
3
Total Citations
33
H-Index
2
About
Jaesung Kim is a leading researcher in mobile robotics, specializing in trajectory planning and motion control for wheeled mobile robots operating under dynamic constraints. His work addresses critical challenges in autonomous navigation, particularly the prevention of slip and the optimization of time efficiency in cornering maneuvers. Kim’s most influential paper, "Cornering Trajectory Planning Avoiding Slip for Differential-Wheeled Mobile Robots" (2019, 27 citations), introduces a dynamics-based algorithm that significantly reduces odometry errors by accounting for tire-ground interaction—a key contribution to precise robot localization. His earlier work, "Efficient Minimum-Time Cornering Motion Planning for Differential-Driven Wheeled Mobile Robots with Motor Control Input Constraint" (2013, 4 citations), established foundational methods for time-optimal motion under actuator limits. Kim also contributed to safety-critical applications, designing a nuclear/chemical reconnaissance system using multiple mobile robots for rapid, autonomous hazard mapping. His research bridges theoretical dynamics and practical deployment, with direct implications for industrial automation, search-and-rescue, and hazardous environment exploration.
Research Focus
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