Chung, Soon-Jo

Advisor — 14 thesises

• Tsukamoto, Hiroyasu — Contraction Theory for Robust Learning-Based Control: Toward Aerospace and Robotic Autonomy (2023, Dissertation (Ph.D.))
• Han, SooJean — Control and State-Estimation of Jump Stochastic Systems by Learning Recurrent Spatiotemporal Patterns (2023, Dissertation (Ph.D.))
• Rivière, Benjamin Pierre — Do Robots Dream of Random Trees? Monte Carlo Tree Search for Dynamical, Partially Observable, and Multi-Agent Systems (2024, Dissertation (Ph.D.))
• Shi, Xichen — Intelligent Control for Fixed-Wing eVTOL Aircraft (2021, Dissertation (Ph.D.))
• Lee, Connor Tinghan — Learning-Based Perception for Robotics in Suboptimal Data Landscapes (2024, Dissertation (Ph.D.))
• O'Connell, Michael Thomas — Methods for Robust Learning-Based Control (2023, Dissertation (Ph.D.))
• Neamati, Daniel A. — New Method and Analysis of Proximity Trajectory-Only Learned Dynamics for Small Body Gravity Fields (2021, Senior thesis (Major))
• Lupu, Elena Sorina — Perception-Driven Autonomy and Learning Control for Ground Vehicles (2025, Dissertation (Ph.D.))
• Ragan, James Francis, III — Planning for an Uncertain Future: Tree-Based Methods for Real-Time Fault Estimation, Collision Avoidance, and Multi-Agent Reconfiguration (2025, Dissertation (Ph.D.))
• Shi, Guanya — Reliable Learning and Control in Dynamic Environments: Towards Unified Theory and Learned Robotic Agility (2023, Dissertation (Ph.D.))
• Cai, Karena Xin — Safe and Interpretable Autonomous Systems Design: Behavioral Contracts and Semantic-Based Perception (2021, Dissertation (Ph.D.))
• Nakka, Yashwanth Kumar — Spacecraft Motion Planning and Control under Probabilistic Uncertainty for Coordinated Inspection and Safe Learning (2021, Dissertation (Ph.D.))
• Tang, Ellande — Studies on Off-Nominal Rotor Aerodynamics for eVTOL Aircraft (2023, Dissertation (Ph.D.))
• Matsuka, Kai — Vision-Based Navigation and Large-Scale Estimation for Spacecraft Swarms (2023, Dissertation (Ph.D.))