Youngjin Kim, Ph.D

Postdoctoral Researcher | Control Theory | Robotics | Dynamic Systems | Autonomous Systems

🔬 Research Interests

My research lies at the intersection of control theory, robotics, and autonomous systems. I specialize in the development of advanced control methodologies—including optimal control, nonlinear control, and safety-critical control—to address complex challenges in autonomous robotic platforms. My work focuses on enhancing performance, efficiency, and safety through rigorous, model-based control strategies grounded in mathematical principles.

Below are my references for your consideration :

  • Dr. Tarunraj Singh, Professor: tsingh at buffalo dot edu
  • Dr. Chaozhe He, Assistant Professor: chaozheh at buffalo dot edu
  • Dr. Karthik Dantu, Associate Professor: kdantu at buffalo dot edu

📅 Past Projects

🧭 Motion/Path Planning

  • Analytical Framework for Energy–Time Optimal Control in Mobile Robot Application [More]
  • Optimal Motion Planning for Wheeled Robots under Actuator Constraints [More]
  • Energy Optimal Obstacle Avoidance Motion Planning [More]
  • Time-Optimal Context Sharing Between Global and Local Planners [More]

🕹️ Control

  • Lyapunov-Stable Tracking Control for Differentially Flat Wheeled Robots [More]
  • Energy and Safety Aware Control for Wheeled Robots [More]
  • Streamlined Autonomous Racing Control via Kinematic Differential Flatness [More]

🤖 Robotic

  • Adaptive Locomotion with Context-Aware Control [More]
  • Active Illumination and Exposure Control for Reliable Vision in Underground Robotics [More]
  • High-Fidelity Simulation for Excavator Autonomy [More]
  • Autonomy for Construction Robotics [More]