Soon-Jo Chung

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 115

Top Venues

Publications

Sri Aditya Deevi, Connor Lee, Lu Gan, Sushruth Nagesh, Gaurav Pandey, Soon-Jo Chung
RGB-X Object Detection via Scene-Specific Fusion Modules. WACV (2024)
Hiroyasu Tsukamoto, Joudi Hajar, Soon-Jo Chung, Fred Y. Hadaegh
Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach. CoRR (2024)
Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman
Online Policy Optimization in Unknown Nonlinear Systems. COLT (2024)
Michael O'Connell, Joshua Cho, Matthew Anderson, Soon-Jo Chung
Learning-Based Minimally-Sensed Fault-Tolerant Adaptive Flight Control. IEEE Robotics Autom. Lett. 9 (6) (2024)
Geeling Chau, Yujin An, Ahamed Raffey Iqbal, Soon-Jo Chung, Yisong Yue, Sabera Talukder
Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces. CoRR (2024)
Connor Lee, Saraswati Soedarmadji, Matthew Anderson, Anthony J. Clark, Soon-Jo Chung
Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robots. CoRR (2024)
Connor Lee, Matthew Anderson, Nikhil Raganathan, Xingxing Zuo, Kevin Do, Georgia Gkioxari, Soon-Jo Chung
CART: Caltech Aerial RGB-Thermal Dataset in the Wild. CoRR (2024)
Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung
Hierarchical Meta-learning-based Adaptive Controller. ICRA (2024)
Elena Sorina Lupu, Fengze Xie, James A. Preiss, Jedidiah Alindogan, Matthew Anderson, Soon-Jo Chung
MAGIC-VFM: Meta-learning Adaptation for Ground Interaction Control with Visual Foundation Models. CoRR (2024)
Hiroyasu Tsukamoto, Joshua D. Ibrahim, Joudi Hajar, James Ragan, Soon-Jo Chung, Fred Y. Hadaegh
Robust Optimal Network Topology Switching for Zero Dynamics Attacks. CoRR (2024)
Kai Matsuka, Soon-Jo Chung
Localized and Incremental Probabilistic Inference for Large-Scale Networked Dynamical Systems. IEEE Trans. Robotics 39 (5) (2023)
Connor T. Lee, Jonathan Gustafsson Frennert, Lu Gan, Matthew Anderson, Soon-Jo Chung
Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles. CoRR (2023)
SooJean Han, Soon-Jo Chung, John C. Doyle
Predictive Control of Linear Discrete-Time Markovian Jump Systems by Learning Recurrent Patterns. CoRR (2023)
SooJean Han, Soon-Jo Chung, John C. Doyle
Predictive control of linear discrete-time Markovian jump systems by learning recurrent patterns. Autom. 156 (2023)
Fengze Xie, Marcus Dominguez-Kuhne, Benjamin Rivière, Jialin Song, Wolfgang Hönig, Soon-Jo Chung, Yisong Yue
Joint-Space Multi-Robot Motion Planning with Learned Decentralized Heuristics. CoRR (2023)
SooJean Han, Soon-Jo Chung, Johanna Gustafson
Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns. L4DC (2023)
Hiroyasu Tsukamoto, Benjamin Rivière, Changrak Choi, Amir Rahmani, Soon-Jo Chung
CART: Collision Avoidance and Robust Tracking Augmentation in Learning-based Motion Planning for Multi-Agent Systems. CoRR (2023)
Yashwanth Kumar Nakka, Soon-Jo Chung
Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning Under Uncertainty. IEEE Trans. Robotics 39 (1) (2023)
Se-Yeon Jeon, Brian P. Hawkins, Samuel Prager, Matthew Anderson, Stefano Moro, Robert Beauchamp, Eric Loria, Soon-Jo Chung, Marco Lavalle
Uav-Borne Bistatic Sar and Insar Experiments in Support of STV and SDC Target Observables. IGARSS (2023)
Hiroyasu Tsukamoto, Benjamin Rivière, Changrak Choi, Amir Rahmani, Soon-Jo Chung
CaRT: Certified Safety and Robust Tracking in Learning-Based Motion Planning for Multi-Agent Systems. CDC (2023)
Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung
Hierarchical Meta-learning-based Adaptive Controller. CoRR (2023)
Karena X. Cai, Tung Phan-Minh, Soon-Jo Chung, Richard M. Murray
Rules of the Road: Formal Guarantees for Autonomous Vehicles With Behavioral Contract Design. IEEE Trans. Robotics 39 (3) (2023)
Lu Gan, Connor Lee, Soon-Jo Chung
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network. ICRA (2023)
Connor Lee, Jonathan Gustafsson Frennert, Lu Gan, Matthew Anderson, Soon-Jo Chung
Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles. IROS (2023)
Sri Aditya Deevi, Connor Lee, Lu Gan, Sushruth Nagesh, Gaurav Pandey, Soon-Jo Chung
RGB-X Object Detection via Scene-Specific Fusion Modules. CoRR (2023)
Hiroyasu Tsukamoto, Soon-Jo Chung, Benjamin Donitz, Michel D. Ingham, Declan Mages, Yashwanth Kumar Nakka
Neural-Rendezvous: Learning-based Robust Guidance and Control to Encounter Interstellar Objects. CoRR (2022)
Samuel Prager, Brian P. Hawkins, Matthew Anderson, Soon-Jo Chung, Marco Lavalle
Development of Ultra-Wideband Software Defined Radar Testbed to Support SAR Tomographic Mission Formulation. IGARSS (2022)
Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds. CoRR (2022)
Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
Neural-Fly enables rapid learning for agile flight in strong winds. Sci. Robotics 7 (66) (2022)
Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions. IEEE Trans. Robotics 38 (2) (2022)
Benjamin P. S. Donitz, Declan Mages, Hiroyasu Tsukamoto, Peter Dixon, Damon Landau, Soon-Jo Chung, Erica Bufanda, Michel D. Ingham, Julie C. Castillo-Rogez
Interstellar Object Accessibility and Mission Design. CoRR (2022)
Benjamin Rivière, Soon-Jo Chung
: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
Competitive Control with Delayed Imperfect Information. ACC (2022)
Lu Gan, Connor T. Lee, Soon-Jo Chung
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network. CoRR (2022)
Soon-Jo Chung
Neural-fly Enables Rapid Learning for Agile Flight in Strong Winds for Drones. ICINCO (2022)
Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue
Meta-Adaptive Nonlinear Control: Theory and Algorithms. NeurIPS (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung
Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization. IEEE Trans. Autom. Control. 66 (10) (2021)
SooJean Han, Soon-Jo Chung, John C. Doyle
A Two-Part Controller Synthesis Approach for Nonlinear Stochastic Systems Perturbed by Lévy Noise Using Renewal Theory and HJB-Based Impulse Control. CoRR (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung
Learning-based Robust Motion Planning With Guaranteed Stability: A Contraction Theory Approach. IEEE Robotics Autom. Lett. 6 (4) (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
Learning-based Adaptive Control via Contraction Theory. CoRR (2021)
Sumeet Singh, Hiroyasu Tsukamoto, Brett Thomas Lopez, Soon-Jo Chung, Jean-Jacques E. Slotine
Safe Motion Planning with Tubes and Contraction Metrics. CDC (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine, Chuchu Fan
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability. CoRR (2021)
Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. IEEE Robotics Autom. Lett. 6 (1) (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung
Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach. CoRR (2021)
Brian P. Hawkins, Matthew Anderson, Sam Prager, Soon-Jo Chung, Marco Lavalle
Experiments with Small UAS to Support SAR Tomographic Mission Formulation. IGARSS (2021)
Marco Lavalle, Ilgin Seker, James Ragan, Eric Loria, Razi Ahmed, Brian P. Hawkins, Samuel Prager, Duane Clark, Robert Beauchamp, Mark Haynes, Paolo Focardi, Nacer E. Chahat, Matthew Anderson, Kai Matsuka, Vincenzo Capuano, Soon-Jo Chung
Distributed Aperture Radar Tomographic Sensors (DARTS) to Map Surface Topography and Vegetation Structure. IGARSS (2021)
Michael O'Connell, Guanya Shi, Xichen Shi, Soon-Jo Chung
Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions. CoRR (2021)
Benjamin Rivière, Wolfgang Hönig, Matthew Anderson, Soon-Jo Chung
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments. IEEE Robotics Autom. Lett. 6 (4) (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
Neural Stochastic Contraction Metrics for Learning-Based Control and Estimation. IEEE Control. Syst. Lett. 5 (5) (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine, Chuchu Fan
A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability. CDC (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview. Annu. Rev. Control. 52 (2021)
SooJean Han, Soon-Jo Chung
Incremental Nonlinear Stability Analysis for Stochastic Systems Perturbed by Lévy Noise. CoRR (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview. CoRR (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
Learning-based Adaptive Control using Contraction Theory. CDC (2021)
Benjamin Rivière, Wolfgang Hönig, Matthew Anderson, Soon-Jo Chung
Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments. CoRR (2021)
Daniel Neamati, Yashwanth Kumar Nakka, Soon-Jo Chung
Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness. CoRR (2021)
Anthony T. Fragoso, Connor T. Lee, Austin S. McCoy, Soon-Jo Chung
A seasonally invariant deep transform for visual terrain-relative navigation. Sci. Robotics 6 (55) (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
Neural Stochastic Contraction Metrics for Learning-based Control and Estimation. ACC (2021)
Benjamin Rivière, Soon-Jo Chung
H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. CoRR (2021)
Yashwanth Kumar Nakka, Soon-Jo Chung
Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning and Control. CoRR (2021)
Kyunam Kim, Patrick Spieler, Elena-Sorina Lupu, Alireza Ramezani, Soon-Jo Chung
A bipedal walking robot that can fly, slackline, and skateboard. Sci. Robotics 6 (59) (2021)
Hiroyasu Tsukamoto, Soon-Jo Chung
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach. IEEE Control. Syst. Lett. 5 (1) (2021)
Kevin C. Meier, Soon-Jo Chung, Seth Hutchinson
River segmentation for autonomous surface vehicle localization and river boundary mapping. J. Field Robotics 38 (2) (2021)
Guanya Shi, Kamyar Azizzadenesheli, Soon-Jo Chung, Yisong Yue
Meta-Adaptive Nonlinear Control: Theory and Algorithms. CoRR (2021)
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
Competitive Control with Delayed Imperfect Information. CoRR (2020)
Aditya A. Paranjape, Soon-Jo Chung
Sub-Optimality of a Dyadic Adaptive Control Architecture. CoRR (2020)
Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning. IEEE Robotics Autom. Lett. 5 (3) (2020)
Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
Online Optimization with Memory and Competitive Control. NeurIPS (2020)
Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions. CoRR (2020)
Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR (2020)
Benjamin Rivière, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning. CoRR (2020)
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
The Power of Predictions in Online Control. NeurIPS (2020)
Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue
Robust Regression for Safe Exploration in Control. L4DC (2020)
Hiroyasu Tsukamoto, Soon-Jo Chung
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach. CoRR (2020)
Xichen Shi, Patrick Spieler, Ellande Tang, Elena-Sorina Lupu, Phillip Tokumaru, Soon-Jo Chung
Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing. ICRA (2020)
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
The Power of Predictions in Online Control. CoRR (2020)
Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. CoRR (2020)
Xichen Shi, Michael O'Connell, Soon-Jo Chung
Numerical Predictive Control for Delay Compensation. CoRR (2020)
Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. CoRR (2020)
Guanya Shi, Wolfgang Hönig, Yisong Yue, Soon-Jo Chung
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. ICRA (2020)
Hiroyasu Tsukamoto, Soon-Jo Chung, Jean-Jacques E. Slotine
Neural Stochastic Contraction Metrics for Learning-based Robust Control and Estimation. CoRR (2020)
Serin Lee, Vincenzo Capuano, Alexei Harvard, Soon-Jo Chung
Fast Uncertainty Estimation for Deep Learning Based Optical Flow. IROS (2020)
Xichen Shi, Patrick Spieler, Ellande Tang, Elena-Sorina Lupu, Phillip Tokumaru, Soon-Jo Chung
Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing. CoRR (2020)
Karena X. Cai, Tung Phan-Minh, Soon-Jo Chung, Richard M. Murray
Rules of the Road: Towards Safety and Liveness Guarantees for Autonomous Vehicles. CoRR (2020)
Hiroyasu Tsukamoto, Soon-Jo Chung
Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization. CoRR (2020)
Karena X. Cai, Alexei Harvard, Richard M. Murray, Soon-Jo Chung
Robust Estimation Framework with Semantic Measurements. ACC (2019)
Anqi Liu, Guanya Shi, Soon-Jo Chung, Anima Anandkumar, Yisong Yue
Robust Regression for Safe Exploration in Control. CoRR (2019)
Yashwanth Kumar Nakka, Soon-Jo Chung
Trajectory Optimization for Chance-Constrained Nonlinear Stochastic Systems. CDC (2019)
Hiroyasu Tsukamoto, Soon-Jo Chung
Convex Optimization-based Controller Design for Stochastic Nonlinear Systems using Contraction Analysis. CDC (2019)
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung
Neural Lander: Stable Drone Landing Control Using Learned Dynamics. ICRA (2019)
Soon-Jo Chung, Aditya A. Paranjape, Philip M. Dames, Shaojie Shen, Vijay Kumar
Guest Editorial Special Section on Aerial Swarm Robotics. IEEE Trans. Robotics 34 (4) (2018)
Jonathan Hoff, Alireza Ramezani, Soon-Jo Chung, Seth Hutchinson
Optimizing the structure and movement of a robotic bat with biological kinematic synergies. Int. J. Robotics Res. 37 (10) (2018)
Xichen Shi, Kyunam Kim, Salar Rahili, Soon-Jo Chung
Nonlinear Control of Autonomous Flying Cars with Wings and Distributed Electric Propulsion. CDC (2018)
Martin Miller, Soon-Jo Chung, Seth Hutchinson
The Visual-Inertial Canoe Dataset. Int. J. Robotics Res. 37 (1) (2018)
Saptarshi Bandyopadhyay, Soon-Jo Chung
Distributed Bayesian filtering using logarithmic opinion pool for dynamic sensor networks. Autom. 97 (2018)
Aditya A. Paranjape, Soon-Jo Chung, Kyunam Kim, David Hyunchul Shim
Robotic Herding of a Flock of Birds Using an Unmanned Aerial Vehicle. IEEE Trans. Robotics 34 (4) (2018)
Soon-Jo Chung, Aditya A. Paranjape, Philip M. Dames, Shaojie Shen, Vijay Kumar
A Survey on Aerial Swarm Robotics. IEEE Trans. Robotics 34 (4) (2018)
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung
Neural Lander: Stable Drone Landing Control using Learned Dynamics. CoRR (2018)
Kevin C. Meier, Soon-Jo Chung, Seth Hutchinson
Visual-inertial curve simultaneous localization and mapping: Creating a sparse structured world without feature points. J. Field Robotics 35 (4) (2018)
Salar Rahili, Benjamin Rivière, Suzanne Olivier, Soon-Jo Chung
Optimal Routing for Autonomous Taxis using Distributed Reinforcement Learning. ICDM Workshops (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Soon-Jo Chung