Cooperative robot control and synchronization of Lagrangian systems. - Soon-Jo Chung; Jean-Jacques E. Slotine (CDC, 2007)

Development of a car-like online navigation testbed. - Kito Berg-Taylor; Keehong Seo; Soon-Jo Chung (EIT, 2008)

Mono-vision corner SLAM for indoor navigation. - Koray Çelik; Soon-Jo Chung; Arun K. Somani (EIT, 2008)

Exponential stability region estimates for the State-Dependent Riccati Equation controllers. - Insu Chang; Soon-Jo Chung (CDC, 2009)

Monocular vision SLAM for indoor aerial vehicles. - Koray Çelik; Soon-Jo Chung; Matthew Clausman; Arun K. Somani (IROS, 2009)

Cooperative Robot Control and Concurrent Synchronization of Lagrangian Systems. - Soon-Jo Chung; Jean-Jacques E. Slotine (IEEE Trans. Robotics, 2009)

Cooperative control with adaptive graph Laplacians for spacecraft formation flying. - Insu Chang; Soon-Jo Chung; Lars Blackmore (CDC, 2010)

On synchronization of coupled Hopf-Kuramoto oscillators with phase delays. - Soon-Jo Chung; Jean-Jacques E. Slotine (CDC, 2010)

CPG-based control of a turtle-like underwater vehicle. - Keehong Seo; Soon-Jo Chung; Jean-Jacques E. Slotine (Auton. Robots, 2010)

Observer design for stochastic nonlinear systems using contraction analysis. - Ashwin P. Dani; Soon-Jo Chung; Seth Hutchinson 001 (CDC, 2012)

PDE boundary control for euler-bernoulli beam using a two stage perturbation observer. - Aditya A. Paranjape; Jinyu Guan; Soon-Jo Chung; Miroslav Krstic (CDC, 2012)

Fabrication and analysis of planar dielectric elastomer actuators capable of complex 3-D deformation. - William Lai; Ashraf-F. Bastawros; Wei Hong; Soon-Jo Chung (ICRA, 2012)

CurveSLAM: An approach for vision-based navigation without point features. - Dushyant Rao; Soon-Jo Chung; Seth Hutchinson 001 (IROS, 2012)

Image moments for higher-level feature based navigation. - Ashwin P. Dani; Ghazaleh Panahandeh; Soon-Jo Chung; Seth Hutchinson 001 (IROS, 2013)

Motion primitives and 3-D path planning for fast flight through a forest. - Aditya A. Paranjape; Kevin C. Meier; Xichen Shi; Soon-Jo Chung; Seth Hutchinson 001 (IROS, 2013)

Vision-based localization and mapping for an autonomous mower. - Junho Yang; Soon-Jo Chung; Seth Hutchinson 001; David Johnson; Michio Kise (IROS, 2013)

Phase synchronization control of complex networks of Lagrangian systems on adaptive digraphs. - Soon-Jo Chung; Saptarshi Bandyopadhyay; Insu Chang; Fred Y. Hadaegh (Autom., 2013)

Novel Dihedral-Based Control of Flapping-Wing Aircraft With Application to Perching. - Aditya A. Paranjape; Soon-Jo Chung; Joseph Kim (IEEE Trans. Robotics, 2013)

PDE Boundary Control for Flexible Articulated Wings on a Robotic Aircraft. - Aditya A. Paranjape; Jinyu Guan; Soon-Jo Chung; Miroslav Krstic (IEEE Trans. Robotics, 2013)

Probabilistic swarm guidance using optimal transport. - Saptarshi Bandyopadhyay; Soon-Jo Chung; Fred Y. Hadaegh (CCA, 2014)

Distributed estimation using Bayesian consensus filtering. - Saptarshi Bandyopadhyay; Soon-Jo Chung (ACC, 2014)

Dyadic perturbation observer framework for control of a class of nonlinear PDE/ODE systems. - Aditya A. Paranjape; Soon-Jo Chung (CDC, 2014)

Distance optimal target assignment in robotic networks under communication and sensing constraints. - Jingjin Yu; Soon-Jo Chung; Petros G. Voulgaris (ICRA, 2014)

Probabilistic guidance of distributed systems using sequential convex programming. - Daniel Morgan; Giri Prashanth Subramanian; Saptarshi Bandyopadhyay; Soon-Jo Chung; Fred Y. Hadaegh (IROS, 2014)

Traveled distance minimization and hierarchical strategies for robotic networks. - Jingjin Yu; Soon-Jo Chung; Petros G. Voulgaris (ISCCSP, 2014)

Output feedback stabilization of linear PDEs with finite dimensional input-output maps and Kelvin-Voigt damping. - Aditya A. Paranjape; Soon-Jo Chung (CDC, 2015)

Omnidirectional-vision-based estimation for containment detection of a robotic mower. - Junho Yang; Soon-Jo Chung; Seth Hutchinson 001; David Johnson; Michio Kise (ICRA, 2015)

Lagrangian modeling and flight control of articulated-winged bat robot. - Alireza Ramezani; Xichen Shi; Soon-Jo Chung; Seth Hutchinson 001 (IROS, 2015)

Motion primitives and 3D path planning for fast flight through a forest. - Aditya A. Paranjape; Kevin C. Meier; Xichen Shi; Soon-Jo Chung; Seth Hutchinson 001 (Int. J. Robotics Res., 2015)

Observer Design for Stochastic Nonlinear Systems via Contraction-Based Incremental Stability. - Ashwin P. Dani; Soon-Jo Chung; Seth Hutchinson 001 (IEEE Trans. Autom. Control., 2015)

Target Assignment in Robotic Networks: Distance Optimality Guarantees and Hierarchical Strategies. - Jingjin Yu; Soon-Jo Chung; Petros G. Voulgaris (IEEE Trans. Autom. Control., 2015)

Sub-optimal boundary control of semilinear pdes using a dyadic perturbation observer. - Aditya A. Paranjape; Soon-Jo Chung (CDC, 2016)

Bat Bot (B2), a biologically inspired flying machine. - Alireza Ramezani; Xichen Shi; Soon-Jo Chung; Seth Hutchinson 001 (ICRA, 2016)

A probabilistic eulerian approach for motion planning of a large-scale swarm of robots. - Saptarshi Bandyopadhyay; Soon-Jo Chung; Fred Y. Hadaegh (IROS, 2016)

Visual-inertial curve SLAM. - Kevin C. Meier; Soon-Jo Chung; Seth Hutchinson 001 (IROS, 2016)

Synergistic Design of a Bio-Inspired Micro Aerial Vehicle with Articulated Wings. - Jonathan Hoff; Alireza Ramezani; Soon-Jo Chung; Seth Hutchinson 001 (Robotics: Science and Systems, 2016)

Swarm assignment and trajectory optimization using variable-swarm, distributed auction assignment and sequential convex programming. - Daniel Morgan; Giri Prashanth Subramanian; Soon-Jo Chung; Fred Y. Hadaegh (Int. J. Robotics Res., 2016)

Switched systems with multiple invariant sets. - Michael R. Dorothy; Soon-Jo Chung (Syst. Control. Lett., 2016)

On Development of 100-Gram-Class Spacecraft for Swarm Applications. - Fred Y. Hadaegh; Soon-Jo Chung; Harish M. Manohara (IEEE Syst. J., 2016)

From Rousettus aegyptiacus (bat) landing to robotic landing: Regulation of CG-CP distance using a nonlinear closed-loop feedback. - Usman Ahmed Syed; Alireza Ramezani; Soon-Jo Chung; Seth Hutchinson 001 (ICRA, 2017)

Reducing Versatile Bat Wing Conformations to a 1-DoF Machine. - Jonathan Hoff; Alireza Ramezani; Soon-Jo Chung; Seth Hutchinson 001 (Living Machines, 2017)

Describing Robotic Bat Flight with Stable Periodic Orbits. - Alireza Ramezani; Syed Usman Ahmed; Jonathan Hoff; Soon-Jo Chung; Seth Hutchinson 001 (Living Machines, 2017)

Vision-based Localization and Robot-centric Mapping in Riverine Environments. - Junho Yang; Ashwin P. Dani; Soon-Jo Chung; Seth Hutchinson 001 (J. Field Robotics, 2017)

A biomimetic robotic platform to study flight specializations of bats. - Soon-Jo Chung; Seth Hutchinson 001 (Sci. Robotics, 2017)

Probabilistic and Distributed Control of a Large-Scale Swarm of Autonomous Agents. - Saptarshi Bandyopadhyay; Soon-Jo Chung; Fred Y. Hadaegh (IEEE Trans. Robotics, 2017)

Nonlinear Control of Autonomous Flying Cars with Wings and Distributed Electric Propulsion. - Xichen Shi; Kyunam Kim; Salar Rahili; Soon-Jo Chung (CDC, 2018)

Optimal Routing for Autonomous Taxis using Distributed Reinforcement Learning. - Salar Rahili; Benjamin Rivière; Suzanne Olivier; Soon-Jo Chung (ICDM Workshops, 2018)

Distributed Bayesian filtering using logarithmic opinion pool for dynamic sensor networks. - Saptarshi Bandyopadhyay; Soon-Jo Chung (Autom., 2018)

Optimizing the structure and movement of a robotic bat with biological kinematic synergies. - Jonathan Hoff; Alireza Ramezani; Soon-Jo Chung; Seth Hutchinson 001 (Int. J. Robotics Res., 2018)

The Visual-Inertial Canoe Dataset. - Martin Miller; Soon-Jo Chung; Seth Hutchinson 001 (Int. J. Robotics Res., 2018)

Visual-inertial curve simultaneous localization and mapping: Creating a sparse structured world without feature points. - Kevin C. Meier; Soon-Jo Chung; Seth Hutchinson 001 (J. Field Robotics, 2018)

Guest Editorial Special Section on Aerial Swarm Robotics. - Soon-Jo Chung; Aditya A. Paranjape; Philip M. Dames; Shaojie Shen; Vijay Kumar 001 (IEEE Trans. Robotics, 2018)

A Survey on Aerial Swarm Robotics. - Soon-Jo Chung; Aditya A. Paranjape; Philip M. Dames; Shaojie Shen; Vijay Kumar 001 (IEEE Trans. Robotics, 2018)

Robotic Herding of a Flock of Birds Using an Unmanned Aerial Vehicle. - Aditya A. Paranjape; Soon-Jo Chung; Kyunam Kim; David Hyunchul Shim (IEEE Trans. Robotics, 2018)

Robust Estimation Framework with Semantic Measurements. - Karena X. Cai; Alexei Harvard; Richard M. Murray; Soon-Jo Chung (ACC, 2019)

Trajectory Optimization for Chance-Constrained Nonlinear Stochastic Systems. - Yashwanth Kumar Nakka; Soon-Jo Chung (CDC, 2019)

Convex Optimization-based Controller Design for Stochastic Nonlinear Systems using Contraction Analysis. - Hiroyasu Tsukamoto; Soon-Jo Chung (CDC, 2019)

Neural Lander: Stable Drone Landing Control Using Learned Dynamics. - Guanya Shi; Xichen Shi; Michael O'Connell; Rose Yu; Kamyar Azizzadenesheli; Animashree Anandkumar; Yisong Yue; Soon-Jo Chung (ICRA, 2019)

Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions. - Guanya Shi; Wolfgang Hönig; Yisong Yue; Soon-Jo Chung (ICRA, 2020)

Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing. - Xichen Shi; Patrick Spieler; Ellande Tang; Elena-Sorina Lupu; Phillip Tokumaru; Soon-Jo Chung (ICRA, 2020)

Fast Uncertainty Estimation for Deep Learning Based Optical Flow. - Serin Lee; Vincenzo Capuano; Alexei Harvard; Soon-Jo Chung (IROS, 2020)

Robust Regression for Safe Exploration in Control. - Anqi Liu; Guanya Shi; Soon-Jo Chung; Anima Anandkumar; Yisong Yue (L4DC, 2020)

Online Optimization with Memory and Competitive Control. - Guanya Shi; Yiheng Lin 001; Soon-Jo Chung; Yisong Yue; Adam Wierman (NeurIPS, 2020)

The Power of Predictions in Online Control. - Chenkai Yu; Guanya Shi; Soon-Jo Chung; Yisong Yue; Adam Wierman (NeurIPS, 2020)

Beyond No-Regret: Competitive Control via Online Optimization with Memory. - Guanya Shi; Yiheng Lin 001; Soon-Jo Chung; Yisong Yue; Adam Wierman (CoRR, 2020)

Numerical Predictive Control for Delay Compensation. - Xichen Shi; Michael O'Connell; Soon-Jo Chung (CoRR, 2020)

Sub-Optimality of a Dyadic Adaptive Control Architecture. - Aditya A. Paranjape; Soon-Jo Chung (CoRR, 2020)

Neural Stochastic Contraction Metrics for Learning-based Robust Control and Estimation. - Hiroyasu Tsukamoto; Soon-Jo Chung; Jean-Jacques E. Slotine (CoRR, 2020)

Rules of the Road: Towards Safety and Liveness Guarantees for Autonomous Vehicles. - Karena X. Cai; Tung Phan-Minh; Soon-Jo Chung; Richard M. Murray (CoRR, 2020)

GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning. - Benjamin Rivière; Wolfgang Hönig; Yisong Yue; Soon-Jo Chung (IEEE Robotics Autom. Lett., 2020)

Safe Motion Planning with Tubes and Contraction Metrics. - Sumeet Singh; Hiroyasu Tsukamoto; Brett T. Lopez; Soon-Jo Chung; Jean-Jacques E. Slotine (CDC, 2021)

Learning-based Adaptive Control using Contraction Theory. - Hiroyasu Tsukamoto; Soon-Jo Chung; Jean-Jacques E. Slotine (CDC, 2021)

A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability. - Hiroyasu Tsukamoto; Soon-Jo Chung; Jean-Jacques E. Slotine; Chuchu Fan (CDC, 2021)

Experiments with Small UAS to Support SAR Tomographic Mission Formulation. - Brian P. Hawkins; Matthew Anderson; Sam Prager; Soon-Jo Chung; Marco Lavalle (IGARSS, 2021)

Distributed Aperture Radar Tomographic Sensors (DARTS) to Map Surface Topography and Vegetation Structure. - 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; et al. (IGARSS, 2021)

Meta-Adaptive Nonlinear Control: Theory and Algorithms. - Guanya Shi; Kamyar Azizzadenesheli; Michael O'Connell; Soon-Jo Chung; Yisong Yue (NeurIPS, 2021)

Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview. - Hiroyasu Tsukamoto; Soon-Jo Chung; Jean-Jacques E. Slotine (Annu. Rev. Control., 2021)

Imitation Learning for Robust and Safe Real-time Motion Planning: A Contraction Theory Approach. - Hiroyasu Tsukamoto; Soon-Jo Chung (CoRR, 2021)

Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions. - Michael O'Connell; Guanya Shi; Xichen Shi; Soon-Jo Chung (CoRR, 2021)

Learning-based Adaptive Control via Contraction Theory. - Hiroyasu Tsukamoto; Soon-Jo Chung; Jean-Jacques E. Slotine (CoRR, 2021)

Incremental Nonlinear Stability Analysis for Stochastic Systems Perturbed by Lévy Noise. - SooJean Han; Soon-Jo Chung (CoRR, 2021)

H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. - Benjamin Rivière; Soon-Jo Chung (CoRR, 2021)

Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning and Control. - Yashwanth Kumar Nakka; Soon-Jo Chung (CoRR, 2021)

Meta-Adaptive Nonlinear Control: Theory and Algorithms. - Guanya Shi; Kamyar Azizzadenesheli; Soon-Jo Chung; Yisong Yue (CoRR, 2021)

A Two-Part Controller Synthesis Approach for Nonlinear Stochastic Systems Perturbed by Lévy Noise Using Renewal Theory and HJB-Based Impulse Control. - SooJean Han; Soon-Jo Chung; John C. Doyle 001 (CoRR, 2021)

Learning-based methods to model small body gravity fields for proximity operations: Safety and Robustness. - Daniel Neamati; Yashwanth Kumar Nakka; Soon-Jo Chung (CoRR, 2021)

Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach. - Hiroyasu Tsukamoto; Soon-Jo Chung (IEEE Control. Syst. Lett., 2021)

Neural Stochastic Contraction Metrics for Learning-Based Control and Estimation. - Hiroyasu Tsukamoto; Soon-Jo Chung; Jean-Jacques E. Slotine (IEEE Control. Syst. Lett., 2021)

River segmentation for autonomous surface vehicle localization and river boundary mapping. - Kevin C. Meier; Soon-Jo Chung; Seth Hutchinson 001 (J. Field Robotics, 2021)

Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems. - Yashwanth Kumar Nakka; Anqi Liu; Guanya Shi; Anima Anandkumar; Yisong Yue; Soon-Jo Chung (IEEE Robotics Autom. Lett., 2021)

Learning-based Robust Motion Planning With Guaranteed Stability: A Contraction Theory Approach. - Hiroyasu Tsukamoto; Soon-Jo Chung (IEEE Robotics Autom. Lett., 2021)

A seasonally invariant deep transform for visual terrain-relative navigation. - Anthony T. Fragoso; Connor T. Lee; Austin S. McCoy; Soon-Jo Chung (Sci. Robotics, 2021)

A bipedal walking robot that can fly, slackline, and skateboard. - Kyunam Kim; Patrick Spieler; Elena-Sorina Lupu; Alireza Ramezani; Soon-Jo Chung (Sci. Robotics, 2021)

Robust Controller Design for Stochastic Nonlinear Systems via Convex Optimization. - Hiroyasu Tsukamoto; Soon-Jo Chung (IEEE Trans. Autom. Control., 2021)

Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments. - Benjamin Rivière; Wolfgang Hönig; Matthew Anderson; Soon-Jo Chung (IEEE Robotics Autom. Lett., 2021)

Competitive Control with Delayed Imperfect Information. - Chenkai Yu; Guanya Shi; Soon-Jo Chung; Yisong Yue; Adam Wierman (ACC, 2022)

Neural-fly Enables Rapid Learning for Agile Flight in Strong Winds for Drones. - Soon-Jo Chung (ICINCO, 2022)

Development of Ultra-Wideband Software Defined Radar Testbed to Support SAR Tomographic Mission Formulation. - Samuel Prager; Brian P. Hawkins; Matthew Anderson; Soon-Jo Chung; Marco Lavalle (IGARSS, 2022)

Neural-Rendezvous: Learning-based Robust Guidance and Control to Encounter Interstellar Objects. - Hiroyasu Tsukamoto; Soon-Jo Chung; Benjamin Donitz; Michel D. Ingham; Declan Mages; Yashwanth Kumar Nakka (CoRR, 2022)

Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network. - Lu Gan 006; Connor T. Lee; Soon-Jo Chung (CoRR, 2022)

Interstellar Object Accessibility and Mission Design. - Benjamin P. S. Donitz; Declan Mages; Hiroyasu Tsukamoto; Peter Dixon 003; Damon Landau; Soon-Jo Chung; Erica Bufanda; Michel D. Ingham; Julie C. Castillo-Rogez (CoRR, 2022)

Neural-Fly enables rapid learning for agile flight in strong winds. - Michael O'Connell; Guanya Shi; Xichen Shi; Kamyar Azizzadenesheli; Anima Anandkumar; Yisong Yue; Soon-Jo Chung (Sci. Robotics, 2022)

H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. - Benjamin Rivière; Soon-Jo Chung (IEEE Trans. Intell. Transp. Syst., 2022)

Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms Using Learned Interactions. - Guanya Shi; Wolfgang Hönig; Xichen Shi; Yisong Yue; Soon-Jo Chung (IEEE Trans. Robotics, 2022)

CaRT: Certified Safety and Robust Tracking in Learning-Based Motion Planning for Multi-Agent Systems. - Hiroyasu Tsukamoto; Benjamin Rivière; Changrak Choi; Amir Rahmani; Soon-Jo Chung (CDC, 2023)

Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network. - Lu Gan 006; Connor Lee; Soon-Jo Chung (ICRA, 2023)

Uav-Borne Bistatic Sar and Insar Experiments in Support of STV and SDC Target Observables. - Se-Yeon Jeon; Brian P. Hawkins; Samuel Prager; Matthew Anderson; Stefano Moro; Robert Beauchamp; Eric Loria; Soon-Jo Chung; Marco Lavalle (IGARSS, 2023)

Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles. - Connor Lee; Jonathan Gustafsson Frennert; Lu Gan 006; Matthew Anderson; Soon-Jo Chung (IROS, 2023)

Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns. - SooJean Han; Soon-Jo Chung; Johanna Gustafson (L4DC, 2023)

CART: Collision Avoidance and Robust Tracking Augmentation in Learning-based Motion Planning for Multi-Agent Systems. - Hiroyasu Tsukamoto; Benjamin Rivière; Changrak Choi; Amir Rahmani; Soon-Jo Chung (CoRR, 2023)

Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles. - Connor T. Lee; Jonathan Gustafsson Frennert; Lu Gan 006; Matthew Anderson; Soon-Jo Chung (CoRR, 2023)

RGB-X Object Detection via Scene-Specific Fusion Modules. - Sri Aditya Deevi; Connor T. Lee; Lu Gan 006; Sushruth Nagesh; Gaurav Pandey 004; Soon-Jo Chung (CoRR, 2023)

Joint-Space Multi-Robot Motion Planning with Learned Decentralized Heuristics. - Fengze Xie; Marcus Dominguez-Kuhne; Benjamin Rivière; Jialin Song; Wolfgang Hönig; Soon-Jo Chung; Yisong Yue (CoRR, 2023)

Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning Under Uncertainty. - Yashwanth Kumar Nakka; Soon-Jo Chung (IEEE Trans. Robotics, 2023)

Rules of the Road: Formal Guarantees for Autonomous Vehicles With Behavioral Contract Design. - Karena X. Cai; Tung Phan-Minh; Soon-Jo Chung; Richard M. Murray (IEEE Trans. Robotics, 2023)

Predictive control of linear discrete-time Markovian jump systems by learning recurrent patterns. - SooJean Han; Soon-Jo Chung; John C. Doyle 001 (Autom., 2023)

Localized and Incremental Probabilistic Inference for Large-Scale Networked Dynamical Systems. - Kai Matsuka; Soon-Jo Chung (IEEE Trans. Robotics, 2023)

Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach. - Hiroyasu Tsukamoto; Joudi Hajar; Soon-Jo Chung; Fred Y. Hadaegh (CDC, 2024)

Robust Optimal Network Topology Switching for Zero Dynamics Attacks. - Hiroyasu Tsukamoto; Joshua D. Ibrahim; Joudi Hajar; James Ragan; Soon-Jo Chung; Fred Y. Hadaegh (CDC, 2024)

Online Policy Optimization in Unknown Nonlinear Systems. - Yiheng Lin 001; James A. Preiss; Fengze Xie; Emile Anand; Soon-Jo Chung; Yisong Yue; Adam Wierman (COLT, 2024)

Caltech Aerial RGB-Thermal Dataset in the Wild. - Connor Lee; Matthew Anderson; Nikhil Ranganathan; Xingxing Zuo 001; Kevin Do; Georgia Gkioxari; Soon-Jo Chung (ECCV (63), 2024)

Hierarchical Meta-learning-based Adaptive Controller. - Fengze Xie; Guanya Shi; Michael O'Connell; Yisong Yue; Soon-Jo Chung (ICRA, 2024)

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search. - John Lathrop; Benjamin Rivière; Jedidiah Alindogan; Soon-Jo Chung (IROS, 2024)

Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robots. - Connor Lee; Saraswati Soedarmadji; Matthew Anderson; Anthony J. Clark; Soon-Jo Chung (IROS, 2024)

RGB-X Object Detection via Scene-Specific Fusion Modules. - Sri Aditya Deevi; Connor Lee; Lu Gan 006; Sushruth Nagesh; Gaurav Pandey 004; Soon-Jo Chung (WACV, 2024)

Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces. - Geeling Chau; Yujin An; Ahamed Raffey Iqbal; Soon-Jo Chung; Yisong Yue; Sabera Talukder (CoRR, 2024)

CART: Caltech Aerial RGB-Thermal Dataset in the Wild. - Connor Lee; Matthew Anderson; Nikhil Ranganathan; Xingxing Zuo 001; Kevin Do; Georgia Gkioxari; Soon-Jo Chung (CoRR, 2024)

MAGIC-VFM: Meta-learning Adaptation for Ground Interaction Control with Visual Foundation Models. - Elena-Sorina Lupu; Fengze Xie; James A. Preiss; Jedidiah Alindogan; Matthew Anderson; Soon-Jo Chung (CoRR, 2024)

Vision-Based Detection of Uncooperative Targets and Components on Small Satellites. - Hannah Grauer; Elena-Sorina Lupu; Connor Lee; Soon-Jo Chung; Darren Rowen; Benjamen Bycroft; Phaedrus Leeds; John Brader (CoRR, 2024)

Motor Imagery Teleoperation of a Mobile Robot Using a Low-Cost Brain-Computer Interface for Multi-Day Validation. - Yujin An; Daniel Mitchell; John Lathrop; David Flynn; Soon-Jo Chung (CoRR, 2024)

Meta-Learning Augmented MPC for Disturbance-Aware Motion Planning and Control of Quadrotors. - Dzenan Lapandic; Fengze Xie; Christos K. Verginis; Soon-Jo Chung; Dimos V. Dimarogonas; Bo Wahlberg (IEEE Control. Syst. Lett., 2024)

Online tree-based planning for active spacecraft fault estimation and collision avoidance. - James Ragan; Benjamin Rivière; Fred Y. Hadaegh; Soon-Jo Chung (Sci. Robotics, 2024)

Monte Carlo tree search with spectral expansion for planning with dynamical systems. - Benjamin Rivière; John Lathrop; Soon-Jo Chung (Sci. Robotics, 2024)

Learning-Based Minimally-Sensed Fault-Tolerant Adaptive Flight Control. - Michael O'Connell; Joshua Cho; Matthew Anderson; Soon-Jo Chung (IEEE Robotics Autom. Lett., 2024)

MAGICVFM-Meta-Learning Adaptation for Ground Interaction Control With Visual Foundation Models. - Elena-Sorina Lupu; Fengze Xie; James A. Preiss; Jedidiah Alindogan; Matthew Anderson; Soon-Jo Chung (IEEE Trans. Robotics, 2025)

MonoTher-Depth: Enhancing Thermal Depth Estimation via Confidence-Aware Distillation. - Xingxing Zuo 001; Nikhil Ranganathan; Connor T. Lee; Georgia Gkioxari; Soon-Jo Chung (IEEE Robotics Autom. Lett., 2025)

COFFEE: A Shadow-Resilient Real-Time Pose Estimator for Unknown Tumbling Asteroids using Sparse Neural Networks. - Arion Zimmermann; Soon-Jo Chung; Fred Y. Hadaegh (CoRR, 2025)