Topology preserving neural networks that achieve a prescribed feature map probability density distribution. - Jongeun Choi; Roberto Horowitz (ACC, 2005)

Synthesis of multiple robust controllers for parametric uncertain LTI systems. - Jongeun Choi; Ryozo Nagamune; Roberto Horowitz (ACC, 2006)

Cooperatively learning mobile agents for gradient climbing. - Jongeun Choi; Songhwai Oh; Roberto Horowitz (CDC, 2007)

Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes. - Jongeun Choi; Joonho Lee; Songhwai Oh (ACC, 2008)

Parameter reduction of nonlinear least-squares estimates via nonconvex optimization. - Ryozo Nagamune; Jongeun Choi (ACC, 2008)

Mobile Sensor Networks for Learning Anisotropic Gaussian Processes. - Yunfei Xu; Jongeun Choi (ACC, 2009)

Posture-Predictive Power Control in Body Sensor Networks Using Linear-Quadratic Gaussian Control. - Muhannad Quwaider; Azizah Muhammad; Jongeun Choi; Subir Biswas (NetCoM, 2009)

Distributed learning and cooperative control for multi-agent systems. - Jongeun Choi; Songhwai Oh; Roberto Horowitz (Autom., 2009)

Gain-scheduling control of port-fuel-injection processes. - Andrew P. White; Jongeun Choi; Ryozo Nagamune; Guoming Zhu 001 (ACC, 2010)

Stochastic adaptive sampling for mobile sensor networks using kernel regression. - Yunfei Xu; Jongeun Choi (ACC, 2010)

Distributed learning in mobile sensor networks using cross validation. - Songhwai Oh; Jongeun Choi (CDC, 2010)

Explorative navigation of mobile sensor networks using sparse Gaussian processes. - Songhwai Oh; Yunfei Xu; Jongeun Choi (CDC, 2010)

Learning Coverage Control of Mobile Sensing Agents in One-Dimensional Stochastic Environments. - Jongeun Choi; Roberto Horowitz (IEEE Trans. Autom. Control., 2010)

Dynamic gain-scheduling controller design for port-fuel-injection processes. - Andrew P. White; Jongeun Choi; Guoming Zhu 001 (ACC, 2011)

Bayesian prediction and adaptive sampling algorithms for mobile sensor networks. - Yunfei Xu; Jongeun Choi; Sarat C. Dass; Taps Maiti (ACC, 2011)

Adaptive Sampling for Learning Gaussian Processes Using Mobile Sensor Networks. - Yunfei Xu; Jongeun Choi (Sensors, 2011)

Hardware-in-the-Loop Simulation of Robust Gain-Scheduling Control of Port-Fuel-Injection Processes. - Andrew P. White; Guoming Zhu 001; Jongeun Choi (IEEE Trans. Control. Syst. Technol., 2011)

Mobile Sensor Network Navigation Using Gaussian Processes With Truncated Observations. - Yunfei Xu; Jongeun Choi; Songhwai Oh (IEEE Trans. Robotics, 2011)

Gaussian process regression using Laplace approximations under localization uncertainty. - Mahdi Jadaliha; Yunfei Xu; Jongeun Choi (ACC, 2012)

A unified Bayesian approach for prediction and detection using mobile sensor networks. - Yunfei Xu; Jongeun Choi; Sarat C. Dass; Tapabrata Maiti (CDC, 2012)

Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields. - Yunfei Xu; Jongeun Choi (Autom., 2012)

Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks. - Yunfei Xu; Jongeun Choi; Sarat C. Dass; Tapabrata Maiti (IEEE Trans. Autom. Control., 2012)

Fully Bayesian simultaneous localization and spatial prediction using Gaussian Markov random fields (GMRFs). - Mahdi Jadaliha; Jongeun Choi (ACC, 2013)

Dynamic, output-feedback, gain-scheduling control of an electric variable valve timing system. - Andrew P. White; Jongeun Choi; Guoming Zhu 001 (ACC, 2013)

Guaranteed ℓ2 to ℓ∞ control for discrete-time polytopic LPV systems. - Andrew P. White; Guoming Zhu 001; Jongeun Choi (ACC, 2013)

Distributed Gaussian process regression for mobile sensor networks under localization uncertainty. - Sungjoon Choi; Mahdi Jadaliha; Jongeun Choi; Songhwai Oh (CDC, 2013)

Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. - Yunfei Xu; Jongeun Choi; Sarat C. Dass; Tapabrata Maiti (Autom., 2013)

Environmental Monitoring Using Autonomous Aquatic Robots: Sampling Algorithms and Experiments. - Mahdi Jadaliha; Jongeun Choi (IEEE Trans. Control. Syst. Technol., 2013)

Mixed H2/H∞ Observer-Based LPV Control of a Hydraulic Engine Cam Phasing Actuator. - Andrew P. White; Zhen Ren; Guoming Zhu 001; Jongeun Choi (IEEE Trans. Control. Syst. Technol., 2013)

Gaussian Process Regression for Sensor Networks Under Localization Uncertainty. - Mahdi Jadaliha; Yunfei Xu; Jongeun Choi; Nicholas S. Johnson; Weiming Li (IEEE Trans. Signal Process., 2013)

Linear Parameter-Varying Control for Engineering Applications - Andrew P. White; Guoming Zhu 001; Jongeun Choi (Springer, 2013)

Time-domain optimal experimental design in human postural control testing. - Martin Cody Priess; Jongeun Choi; Clark Radcliffe; John M. Popovich; Jacek Cholewicki; N. Peter Reeves (ACC, 2014)

Appearance-based localization using Group LASSO regression with an indoor experiment. - Huan N. Do; Jongeun Choi; Chae Young Lim; Tapabrata Maiti (AIM, 2015)

Visual feature selection for GP-based localization using an omnidirectional camera. - Huan N. Do; Jongeun Choi; Chae Young Lim (ACC, 2015)

Feedback control of three-bead achiral robotic microswimmers. - U. Kei Cheang; Hoyeon Kim; Dejan Milutinovic; Jongeun Choi; Louis W. Rogowski; Min Jun Kim 001 (URAI, 2015)

Feature selection for position estimation using an omnidirectional camera. - Huan N. Do; Mahdi Jadaliha; Jongeun Choi; Chae Young Lim (Image Vis. Comput., 2015)

Solutions to the Inverse LQR Problem With Application to Biological Systems Analysis. - Martin Cody Priess; Richard Conway 002; Jongeun Choi; John M. Popovich; Clark Radcliffe (IEEE Trans. Control. Syst. Technol., 2015)

Inferring human subject motor control intent using inverse MPC. - Ahmed Ramadan; Jongeun Choi; Clark J. Radcliffe (ACC, 2016)

New implementation of high-gain observers in the presence of measurement noise using stochastic approximation. - Joonho Lee; Jongeun Choi; Hassan K. Khalil (ECC, 2016)

Tracking Heteroscedastic Progression of Opinions with an Aggregation Bias Correction Model. - Ahsan Ijaz; Jongeun Choi (ICSC, 2016)

Robotic solutions to facilitate studying human motor control. - Ahmed Ramadan; Jongeun Choi; Clark J. Radcliffe; Jacek Cholewicki; N. Peter Reeves; John M. Popovich (URAI, 2017)

GA-Based Filter Selection for Representation in Convolutional Neural Networks. - Junbong Kim; Minki Lee; Jongeun Choi; Kisung Seo (ECCV Workshops (4), 2018)

Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization Using Gaussian Markov Random Fields. - Mahdi Jadaliha; Jinho Jeong 003; Yunfei Xu; Jongeun Choi; Jung Hoon Kim 002 (Sensors, 2018)

Emotion Recognition in Gamers Wearing Head-mounted Display. - Hwanmoo Yong; Jisuk Lee; Jongeun Choi (VR, 2019)

Inferring Control Intent During Seated Balance Using Inverse Model Predictive Control. - Ahmed Ramadan; Jongeun Choi; Clark J. Radcliffe; John M. Popovich; N. Peter Reeves (IEEE Robotics Autom. Lett., 2019)

Prediction of Abdominal Aortic Aneurysm Growth Using Dynamical Gaussian Process Implicit Surface. - Huan N. Do; Ahsan Ijaz; Hamidreza Gharahi; Byron Zambrano; Jongeun Choi; Whal Lee; Seungik Baek (IEEE Trans. Biomed. Eng., 2019)

Driving Assistant Companion With Voice Interface Using Long Short-Term Memory Networks. - Jehyun Park; Hojoon Son; Jisuk Lee; Jongeun Choi (IEEE Trans. Ind. Informatics, 2019)

Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration. - Liangliang Zhang; Zhenxiang Jiang; Jongeun Choi; Chae Young Lim; Tapabrata Maiti; Seungik Baek (IEEE J. Biomed. Health Informatics, 2019)

Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning. - Myounghoe Kim; Seongwon Lee 004; Jaehyun Lim; Jongeun Choi; Seong Gu Kang (IEEE Access, 2020)

Gaussian Process Online Learning With a Sparse Data Stream. - Jehyun Park; Jongeun Choi (IEEE Robotics Autom. Lett., 2020)

Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding Into Euclidean Spaces. - Dong Eui Chang; Karmvir Singh Phogat; Jongeun Choi (IEEE Trans. Autom. Control., 2020)

Customer-Specific Robotic Attendant for VR Simulators. - Jehyun Park; Hwanmoo Yong; Seungchul Ha; Jisuk Lee; Jongeun Choi (IEEE Trans Autom. Sci. Eng., 2020)

Multifidelity Sampling for Fast Bayesian Shape Estimation With Tactile Exploration. - Shiyi Yang; Soo Jeon; Jongeun Choi (IEEE Trans. Ind. Informatics, 2020)

Multi-output Infinite Horizon Gaussian Processes. - Jaehyun Lim; Jehyun Park; Sungjae Nah; Jongeun Choi (ICRA, 2021)

Output feedback control design using Extended High-Gain Observers and dynamic inversion with projection for a small scaled helicopter. - Joonho Lee; Joo-Hwan Seo; Jongeun Choi (Autom., 2021)

Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications. - Zhenxiang Jiang; Jongeun Choi; Seungik Baek (Comput. Biol. Medicine, 2021)

Diagnosis of obstructive sleep apnea with prediction of flow characteristics according to airway morphology automatically extracted from medical images: Computational fluid dynamics and artificial intelligence approach. - Susie Ryu; Jun Hong Kim; Heejin Yu; Hwi-Dong Jung; Suk Won Chang; Jeong Jin Park; Soonhyuk Hong; Hyung-Ju Cho; Yoon Jeong Choi; Jongeun Choi; Joon Sang Lee (Comput. Methods Programs Biomed., 2021)

Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters. - Kyubaek Yoon; Hojun You; Wei-Ying Wu; Chae Young Lim; Jongeun Choi; Connor Boss; Ahmed Ramadan; John M. Popovich Jr.; Jacek Cholewicki; N. Peter Reeves; Clark J. Radcliffe (CoRR, 2021)

Attaining Interpretability in Reinforcement Learning via Hierarchical Primitive Composition. - Jeong-Hoon Lee; Jongeun Choi (CoRR, 2021)

Correction to "Gaussian Process Online Learning With a Sparse Data Stream". - Jaehyun Lim; Jehyun Park; Jongeun Choi (IEEE Robotics Autom. Lett., 2021)

Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service. - Seungwoo Jeong; Taekwon Ga; Inhwan Jeong; Jongeun Choi (AIM, 2022)

Nonlinear Model Predictive Control with Cost Function Scheduling for a Wheeled Mobile Robot. - Jaehyun Lim; Hyeonwoo Lee; Jongeun Choi (IROS, 2022)

Behavior Tree-Based Asynchronous Task Planning for Multiple Mobile Robots using a Data Distribution Service. - Seungwoo Jeong; Taekwon Ga; Inhwan Jeong; Jongeun Choi (CoRR, 2022)

Layered Cost-Map-Based Traffic Management for Multiple Automated Mobile Robots via a Data Distribution Service. - Seungwoo Jeong; Taekwon Ga; Inhwan Jeong; Jongkyu Oh; Jongeun Choi (CoRR, 2022)

Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position tracking. - Kyubaek Yoon; Hojun You; Wei-Ying Wu; Chae Young Lim; Jongeun Choi; Connor Boss; Ahmed Ramadan; John M. Popovich Jr.; Jacek Cholewicki; N. Peter Reeves; Clark J. Radcliffe (Eng. Appl. Artif. Intell., 2022)

Hierarchical Primitive Composition: Simultaneous Activation of Skills With Inconsistent Action Dimensions in Multiple Hierarchies. - Jeong-Hoon Lee; Jongeun Choi (IEEE Robotics Autom. Lett., 2022)

Safety-Critical Control With Nonaffine Control Inputs Via a Relaxed Control Barrier Function for an Autonomous Vehicle. - Joo-Hwan Seo; Joonho Lee; Eunkyu Baek; Roberto Horowitz; Jongeun Choi (IEEE Robotics Autom. Lett., 2022)

Nonaffine Helicopter Control Design and Implementation Based on a Robust Explicit Nonlinear Model Predictive Control. - Joo-Hwan Seo; Seongwon Lee 004; Joonho Lee; Jongeun Choi (IEEE Trans. Control. Syst. Technol., 2022)

Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning. - Hyunwoo Ryu; Hong-in Lee; Jeong-Hoon Lee; Jongeun Choi (ICLR, 2023)

Integration and Evaluation of an Immersive Virtual Platform. - Hyeonwoo Lee; Woosuk Byun; Heecheon Lee; Yusin Kang; Jongeun Choi (IEEE Access, 2023)

Robot Manipulation Task Learning by Leveraging SE(3) Group Invariance and Equivariance. - Joo-Hwan Seo; Nikhil Potu Surya Prakash; Xiang Zhang 020; Changhao Wang; Jongeun Choi; Masayoshi Tomizuka; Roberto Horowitz (CoRR, 2023)

Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation. - Hyunwoo Ryu; Jiwoo Kim; Junwoo Chang; Hyun-Seok Ahn; Joo-Hwan Seo; Taehan Kim; Yubin Kim 002; Jongeun Choi; Roberto Horowitz (CoRR, 2023)

Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning. - Junwoo Chang; Hyunwoo Ryu; Jiwoo Kim; Soochul Yoo; Joohwan Seo; Nikhil Potu Surya Prakash; Jongeun Choi; Roberto Horowitz (CoRR, 2023)

Clustering Techniques for Stable Linear Dynamical Systems with applications to Hard Disk Drives. - Nikhil Potu Surya Prakash; Joohwan Seo; Jongeun Choi; Roberto Horowitz (CoRR, 2023)

Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations. - Jehyun Park; Jongeun Choi; Sungjae Nah; Dohee Kim (Eng. Appl. Artif. Intell., 2023)

Suspension Control Strategies Using Switched Soft Actor-Critic Models for Real Roads. - Hwanmoo Yong; Joo-Hwan Seo; Jaeyoung Kim; Myounghoe Kim; Jongeun Choi (IEEE Trans. Ind. Electron., 2023)

Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement. - Kyubaek Yoon; Jae-Young Kim; Sun-Jong Kim; Jong-Ki Huh; Jin-Woo Kim; Jongeun Choi (Comput. Methods Programs Biomed., 2023)

A Comparison Between Lie Group- and Lie Algebra- Based Potential Functions for Geometric Impedance Control. - Joohwan Seo; Nikhil Potu Surya Prakash; Jongeun Choi; Roberto Horowitz (ACC, 2024)

Diffusion-EDFs: Bi-Equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation. - Hyunwoo Ryu; Jiwoo Kim; Hyunseok An; Junwoo Chang; Joohwan Seo; Taehan Kim; Yubin Kim 002; Chaewon Hwang; Jongeun Choi; Roberto Horowitz (CVPR, 2024)

An Online Guide System for Improving Driving Skills on the Race Track: Visual Feedback Approach. - Kunhee Ryu; Jinsung Kim; Jongtaek Han; Jonghak Bae; Bogyeong Suh; Jaehyun Lim; Jongeun Choi (HCI (60), 2024)

Deep Geometric Potential Functions for Tracking on Manifolds. - Nikhil Potu Surya Prakash; Joohwan Seo; Koushil Sreenath; Jongeun Choi; Roberto Horowitz (IROS, 2024)

Human Motion Prediction: Assessing Direct and Geometry-Aware Approaches in 3D Space. - Sarmad Idrees; Jiwoo Kim; Jongeun Choi; Seokman Sohn (IEEE Access, 2024)

AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction. - Sarmad Idrees; Jongeun Choi; Seokman Sohn (CoRR, 2024)

Contact-Rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control. - Joohwan Seo; Nikhil Potu Surya Prakash; Xiang Zhang 020; Changhao Wang; Jongeun Choi; Masayoshi Tomizuka; Roberto Horowitz (IEEE Robotics Autom. Lett., 2024)

Autonomous Robot Racing Competitions: Truly Multivehicle Autonomous Racing Competitions [Competitions]. - Heechan Moon; Shin Han Kang; Jeongsik Eom; Myun Joong Hwang; Youngmin Kim; Jungha Wang; Beomjun Kim; Taehyung Kim; Taekwon Ga; Jongeun Choi; Wonsang You; Jiyou Shin; et al. (IEEE Robotics Autom. Mag., 2024)

Differentiable Moving Horizon Estimation for Vehicle Kinematics via Learning Covariance Matrices. - Seungwoo Jeong; Jongeun Choi (IEEE Trans. Intell. Veh., 2024)

SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey. - Joohwan Seo; Soochul Yoo; Junwoo Chang; Hyunseok An; Hyunwoo Ryu; Soomi Lee; Arvind Kruthiventy; Jongeun Choi; Roberto Horowitz (CoRR, 2025)

Geometric Formulation of Unified Force-Impedance Control on SE(3) for Robotic Manipulators. - Joohwan Seo; Nikhil Potu Surya Prakash; Soomi Lee; Arvind Kruthiventy; Megan Teng; Jongeun Choi; Roberto Horowitz (CoRR, 2025)

EquiContact: A Hierarchical SE(3) Vision-to-Force Equivariant Policy for Spatially Generalizable Contact-rich Tasks. - Joohwan Seo; Arvind Kruthiventy; Soomi Lee; Megan Teng; Xiang Zhang 020; Seoyeon Choi; Jongeun Choi; Roberto Horowitz (CoRR, 2025)