Youngjin Kim

Youngjin Kim is a Postdoctoral Associate in the Department of Computer Science and Engineering at the University at Buffalo, working under the supervision of Karthik Dantu. His research focuses on robotics, motion planning, and control systems with an emphasis on energy optimization and autonomous systems.

Kim's work addresses challenges in robot navigation, obstacle avoidance, and trajectory tracking for wheeled mobile robots. His contributions include developing energy-efficient control strategies, simulation environments (e.g., TERA for terrain excavation robots), and advanced motion planning techniques leveraging control barrier functions and linear programming.

His publications from 2020–2025 consistently explore energy-time optimal control, path planning, and real-world robot applications such as parallel parking and autonomous racing. Current affiliations include the Department of Computer Science and Engineering within the School of Engineering and Applied Sciences at UB.

Kim's research bridges theoretical control methodologies with practical implementations in robotics, aiming to enhance efficiency, safety, and performance in autonomous systems.