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Jongeun Choi
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2020 – today
- 2024
- [j38]Sarmad Idrees, Jiwoo Kim, Jongeun Choi
, Seokman Sohn:
Human Motion Prediction: Assessing Direct and Geometry-Aware Approaches in 3D Space. IEEE Access 12: 104643-104662 (2024) - [j37]Joohwan Seo
, Nikhil Potu Surya Prakash
, Xiang Zhang
, Changhao Wang
, Jongeun Choi
, Masayoshi Tomizuka
, Roberto Horowitz
:
Contact-Rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control. IEEE Robotics Autom. Lett. 9(2): 1508-1515 (2024) - [j36]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, Jongsoo Han, Kyeongbeen Park, Hyungpil Moon, Seok-Cheol Kee, Hak-Jin Kim, Yong-Hyun Kim, Kibeom Lee, Jaeseung Yu:
Autonomous Robot Racing Competitions: Truly Multivehicle Autonomous Racing Competitions [Competitions]. IEEE Robotics Autom. Mag. 31(1): 123-132 (2024) - [c35]Kunhee Ryu, Jinsung Kim, Jongtaek Han, Jonghak Bae, Bogyeong Suh, Jaehyun Lim, Jongeun Choi:
An Online Guide System for Improving Driving Skills on the Race Track: Visual Feedback Approach. HCI (60) 2024: 275-282 - [i12]Sarmad Idrees, Jongeun Choi, Seokman Sohn:
AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction. CoRR abs/2401.05018 (2024) - [i11]Joohwan Seo, Nikhil Potu Surya Prakash, Jongeun Choi, Roberto Horowitz:
A Comparison Between Lie Group- and Lie Algebra- Based Potential Functions for Geometric Impedance Control. CoRR abs/2401.13190 (2024) - 2023
- [j35]Hyeonwoo Lee
, Woosuk Byun
, Heecheon Lee, Yusin Kang
, Jongeun Choi
:
Integration and Evaluation of an Immersive Virtual Platform. IEEE Access 11: 1335-1347 (2023) - [j34]Kyubaek Yoon, Jae-Young Kim
, Sun-Jong Kim, Jong-Ki Huh
, Jin-Woo Kim, Jongeun Choi
:
Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement. Comput. Methods Programs Biomed. 233: 107465 (2023) - [j33]Jehyun Park
, Jongeun Choi
, Sungjae Nah
, Dohee Kim
:
Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations. Eng. Appl. Artif. Intell. 123(Part C): 106465 (2023) - [j32]Hwanmoo Yong, Joo-Hwan Seo
, Jaeyoung Kim, Myounghoe Kim
, Jongeun Choi
:
Suspension Control Strategies Using Switched Soft Actor-Critic Models for Real Roads. IEEE Trans. Ind. Electron. 70(1): 824-832 (2023) - [c34]Hyunwoo Ryu, Hong-in Lee, Jeong-Hoon Lee, Jongeun Choi:
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning. ICLR 2023 - [i10]Joo-Hwan Seo, Nikhil Potu Surya Prakash, Xiang Zhang, Changhao Wang, Jongeun Choi, Masayoshi Tomizuka, Roberto Horowitz:
Robot Manipulation Task Learning by Leveraging SE(3) Group Invariance and Equivariance. CoRR abs/2308.14984 (2023) - [i9]Hyunwoo Ryu, Jiwoo Kim, Junwoo Chang, Hyun-Seok Ahn, Joo-Hwan Seo, Taehan Kim, Yubin Kim, Jongeun Choi, Roberto Horowitz:
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation. CoRR abs/2309.02685 (2023) - [i8]Junwoo Chang, Hyunwoo Ryu, Jiwoo Kim, Soochul Yoo, Joohwan Seo, Nikhil Potu Surya Prakash, Jongeun Choi, Roberto Horowitz:
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning. CoRR abs/2310.12609 (2023) - [i7]Nikhil Potu Surya Prakash, Joohwan Seo, Jongeun Choi, Roberto Horowitz:
Clustering Techniques for Stable Linear Dynamical Systems with applications to Hard Disk Drives. CoRR abs/2311.10322 (2023) - 2022
- [j31]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
:
Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position tracking. Eng. Appl. Artif. Intell. 113: 104974 (2022) - [j30]Joo-Hwan Seo, Joonho Lee, Eunkyu Baek, Roberto Horowitz
, Jongeun Choi
:
Safety-Critical Control With Nonaffine Control Inputs Via a Relaxed Control Barrier Function for an Autonomous Vehicle. IEEE Robotics Autom. Lett. 7(2): 1944-1951 (2022) - [j29]Jeong-Hoon Lee
, Jongeun Choi
:
Hierarchical Primitive Composition: Simultaneous Activation of Skills With Inconsistent Action Dimensions in Multiple Hierarchies. IEEE Robotics Autom. Lett. 7(3): 7581-7588 (2022) - [j28]Joo-Hwan Seo
, Seongwon Lee, Joonho Lee
, Jongeun Choi
:
Nonaffine Helicopter Control Design and Implementation Based on a Robust Explicit Nonlinear Model Predictive Control. IEEE Trans. Control. Syst. Technol. 30(2): 811-818 (2022) - [c33]Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongeun Choi:
Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service. AIM 2022: 1791-1798 - [c32]Jaehyun Lim, Hyeonwoo Lee
, Jongeun Choi:
Nonlinear Model Predictive Control with Cost Function Scheduling for a Wheeled Mobile Robot. IROS 2022: 5664-5670 - [i6]Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongeun Choi:
Behavior Tree-Based Asynchronous Task Planning for Multiple Mobile Robots using a Data Distribution Service. CoRR abs/2201.10918 (2022) - [i5]Hyunwoo Ryu, Jeong-Hoon Lee, Hong-in Lee, Jongeun Choi:
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning. CoRR abs/2206.08321 (2022) - [i4]Seungwoo Jeong, Taekwon Ga, Inhwan Jeong, Jongkyu Oh, Jongeun Choi:
Layered Cost-Map-Based Traffic Management for Multiple Automated Mobile Robots via a Data Distribution Service. CoRR abs/2207.08902 (2022) - 2021
- [j27]Joonho Lee, Joo-Hwan Seo, Jongeun Choi:
Output feedback control design using Extended High-Gain Observers and dynamic inversion with projection for a small scaled helicopter. Autom. 133: 109883 (2021) - [j26]Zhenxiang Jiang, Jongeun Choi, Seungik Baek
:
Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications. Comput. Biol. Medicine 133: 104394 (2021) - [j25]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:
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. Comput. Methods Programs Biomed. 208: 106243 (2021) - [j24]Jaehyun Lim
, Jehyun Park
, Jongeun Choi
:
Correction to "Gaussian Process Online Learning With a Sparse Data Stream". IEEE Robotics Autom. Lett. 6(1): 429-430 (2021) - [c31]Jaehyun Lim
, Jehyun Park, Sungjae Nah, Jongeun Choi:
Multi-output Infinite Horizon Gaussian Processes. ICRA 2021: 1542-1549 - [i3]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:
Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters. CoRR abs/2104.11426 (2021) - [i2]Jeong-Hoon Lee, Jongeun Choi:
Attaining Interpretability in Reinforcement Learning via Hierarchical Primitive Composition. CoRR abs/2110.01833 (2021) - 2020
- [j23]Myounghoe Kim
, Seongwon Lee
, Jaehyun Lim
, Jongeun Choi
, Seong Gu Kang
:
Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning. IEEE Access 8: 17243-17252 (2020) - [j22]Jehyun Park
, Jongeun Choi
:
Gaussian Process Online Learning With a Sparse Data Stream. IEEE Robotics Autom. Lett. 5(4): 5977-5984 (2020) - [j21]Dong Eui Chang
, Karmvir Singh Phogat
, Jongeun Choi
:
Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding Into Euclidean Spaces. IEEE Trans. Autom. Control. 65(7): 3191-3198 (2020) - [j20]Jehyun Park
, Hwanmoo Yong, Seungchul Ha, Jisuk Lee
, Jongeun Choi
:
Customer-Specific Robotic Attendant for VR Simulators. IEEE Trans Autom. Sci. Eng. 17(4): 1901-1910 (2020) - [j19]Shiyi Yang
, Soo Jeon
, Jongeun Choi
:
Multifidelity Sampling for Fast Bayesian Shape Estimation With Tactile Exploration. IEEE Trans. Ind. Informatics 16(7): 4478-4488 (2020)
2010 – 2019
- 2019
- [j18]Ahmed Ramadan
, Jongeun Choi
, Clark J. Radcliffe, John M. Popovich
, N. Peter Reeves:
Inferring Control Intent During Seated Balance Using Inverse Model Predictive Control. IEEE Robotics Autom. Lett. 4(2): 224-230 (2019) - [j17]Huan N. Do
, Ahsan Ijaz
, Hamidreza Gharahi, Byron Zambrano
, Jongeun Choi
, Whal Lee, Seungik Baek
:
Prediction of Abdominal Aortic Aneurysm Growth Using Dynamical Gaussian Process Implicit Surface. IEEE Trans. Biomed. Eng. 66(3): 609-622 (2019) - [j16]Jehyun Park
, Hojoon Son
, Jisuk Lee
, Jongeun Choi
:
Driving Assistant Companion With Voice Interface Using Long Short-Term Memory Networks. IEEE Trans. Ind. Informatics 15(1): 582-590 (2019) - [j15]Liangliang Zhang
, Zhenxiang Jiang, Jongeun Choi
, Chae Young Lim, Tapabrata Maiti, Seungik Baek
:
Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration. IEEE J. Biomed. Health Informatics 23(6): 2537-2550 (2019) - [c30]Hwanmoo Yong, Jisuk Lee, Jongeun Choi:
Emotion Recognition in Gamers Wearing Head-mounted Display. VR 2019: 1251-1252 - [i1]Dong Eui Chang, Karmvir Singh Phogat, Jongeun Choi:
Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding into Euclidean Spaces. CoRR abs/1910.05669 (2019) - 2018
- [j14]Mahdi Jadaliha, Jinho Jeong, Yunfei Xu, Jongeun Choi
, Jung Hoon Kim
:
Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization Using Gaussian Markov Random Fields. Sensors 18(9): 2866 (2018) - [c29]Junbong Kim, Minki Lee, Jongeun Choi, Kisung Seo:
GA-Based Filter Selection for Representation in Convolutional Neural Networks. ECCV Workshops (4) 2018: 609-618 - 2017
- [c28]Ahmed Ramadan
, Jongeun Choi, Clark J. Radcliffe, Jacek Cholewicki, N. Peter Reeves, John M. Popovich
:
Robotic solutions to facilitate studying human motor control. URAI 2017: 174-178 - 2016
- [c27]Ahmed Ramadan
, Jongeun Choi, Clark J. Radcliffe:
Inferring human subject motor control intent using inverse MPC. ACC 2016: 5791-5796 - [c26]Joonho Lee, Jongeun Choi, Hassan K. Khalil:
New implementation of high-gain observers in the presence of measurement noise using stochastic approximation. ECC 2016: 1740-1745 - [c25]Ahsan Ijaz, Jongeun Choi:
Tracking Heteroscedastic Progression of Opinions with an Aggregation Bias Correction Model. ICSC 2016: 346-349 - 2015
- [j13]Huan N. Do, Mahdi Jadaliha, Jongeun Choi
, Chae Young Lim:
Feature selection for position estimation using an omnidirectional camera. Image Vis. Comput. 39: 1-9 (2015) - [j12]Martin Cody Priess, Richard Conway, Jongeun Choi
, John M. Popovich
, Clark Radcliffe:
Solutions to the Inverse LQR Problem With Application to Biological Systems Analysis. IEEE Trans. Control. Syst. Technol. 23(2): 770-777 (2015) - [c24]Huan N. Do, Jongeun Choi, Chae Young Lim, Tapabrata Maiti:
Appearance-based localization using Group LASSO regression with an indoor experiment. AIM 2015: 984-989 - [c23]Huan N. Do, Jongeun Choi
, Chae Young Lim:
Visual feature selection for GP-based localization using an omnidirectional camera. ACC 2015: 4210-4215 - [c22]U. Kei Cheang
, Hoyeon Kim, Dejan Milutinovic, Jongeun Choi, Louis W. Rogowski, Min Jun Kim
:
Feedback control of three-bead achiral robotic microswimmers. URAI 2015: 518-523 - 2014
- [c21]Martin Cody Priess, Jongeun Choi
, Clark Radcliffe, John M. Popovich
, Jacek Cholewicki, N. Peter Reeves:
Time-domain optimal experimental design in human postural control testing. ACC 2014: 4790-4795 - 2013
- [b1]Andrew P. White, Guoming Zhu, Jongeun Choi
:
Linear Parameter-Varying Control for Engineering Applications. Springer Briefs in Electrical and Computer Engineering, Springer 2013, ISBN 978-1-4471-5039-8, pp. i-xiii, 1-110 - [j11]Yunfei Xu, Jongeun Choi
, Sarat C. Dass
, Tapabrata Maiti:
Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. Autom. 49(12): 3520-3530 (2013) - [j10]Andrew P. White, Zhen Ren, Guoming Zhu, Jongeun Choi
:
Mixed H2/H∞ Observer-Based LPV Control of a Hydraulic Engine Cam Phasing Actuator. IEEE Trans. Control. Syst. Technol. 21(1): 229-238 (2013) - [j9]Mahdi Jadaliha, Jongeun Choi
:
Environmental Monitoring Using Autonomous Aquatic Robots: Sampling Algorithms and Experiments. IEEE Trans. Control. Syst. Technol. 21(3): 899-905 (2013) - [j8]Mahdi Jadaliha, Yunfei Xu, Jongeun Choi
, Nicholas S. Johnson, Weiming Li:
Gaussian Process Regression for Sensor Networks Under Localization Uncertainty. IEEE Trans. Signal Process. 61(2): 223-237 (2013) - [c20]Andrew P. White, Jongeun Choi
, Guoming Zhu:
Dynamic, output-feedback, gain-scheduling control of an electric variable valve timing system. ACC 2013: 3619-3624 - [c19]Mahdi Jadaliha, Jongeun Choi
:
Fully Bayesian simultaneous localization and spatial prediction using Gaussian Markov random fields (GMRFs). ACC 2013: 4592-4597 - [c18]Andrew P. White, Guoming Zhu, Jongeun Choi
:
Guaranteed ℓ2 to ℓ∞ control for discrete-time polytopic LPV systems. ACC 2013: 6066-6071 - [c17]Sungjoon Choi, Mahdi Jadaliha, Jongeun Choi
, Songhwai Oh:
Distributed Gaussian process regression for mobile sensor networks under localization uncertainty. CDC 2013: 4766-4771 - 2012
- [j7]Yunfei Xu, Jongeun Choi
:
Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields. Autom. 48(8): 1735-1740 (2012) - [j6]Yunfei Xu, Jongeun Choi
, Sarat C. Dass
, Tapabrata Maiti:
Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks. IEEE Trans. Autom. Control. 57(8): 2078-2084 (2012) - [c16]Mahdi Jadaliha, Yunfei Xu, Jongeun Choi
:
Gaussian process regression using Laplace approximations under localization uncertainty. ACC 2012: 1394-1399 - [c15]Yunfei Xu, Jongeun Choi
, Sarat C. Dass
, Tapabrata Maiti:
Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. ACC 2012: 2171-2176 - [c14]Yunfei Xu, Jongeun Choi
, Sarat C. Dass
, Tapabrata Maiti:
A unified Bayesian approach for prediction and detection using mobile sensor networks. CDC 2012: 1180-1185 - 2011
- [j5]Yunfei Xu, Jongeun Choi
:
Adaptive Sampling for Learning Gaussian Processes Using Mobile Sensor Networks. Sensors 11(3): 3051-3066 (2011) - [j4]Andrew P. White, Guoming Zhu, Jongeun Choi
:
Hardware-in-the-Loop Simulation of Robust Gain-Scheduling Control of Port-Fuel-Injection Processes. IEEE Trans. Control. Syst. Technol. 19(6): 1433-1443 (2011) - [j3]Yunfei Xu, Jongeun Choi
, Songhwai Oh:
Mobile Sensor Network Navigation Using Gaussian Processes With Truncated Observations. IEEE Trans. Robotics 27(6): 1118-1131 (2011) - [c13]Andrew P. White, Jongeun Choi
, Guoming Zhu:
Dynamic gain-scheduling controller design for port-fuel-injection processes. ACC 2011: 402-407 - [c12]Yunfei Xu, Jongeun Choi
, Sarat C. Dass
, Taps Maiti:
Bayesian prediction and adaptive sampling algorithms for mobile sensor networks. ACC 2011: 4195-4200 - 2010
- [j2]Jongeun Choi
, Roberto Horowitz
:
Learning Coverage Control of Mobile Sensing Agents in One-Dimensional Stochastic Environments. IEEE Trans. Autom. Control. 55(3): 804-809 (2010) - [c11]Andrew P. White, Jongeun Choi
, Ryozo Nagamune, Guoming Zhu:
Gain-scheduling control of port-fuel-injection processes. ACC 2010: 1453-1458 - [c10]Yunfei Xu, Jongeun Choi
:
Stochastic adaptive sampling for mobile sensor networks using kernel regression. ACC 2010: 2897-2902 - [c9]Songhwai Oh, Jongeun Choi
:
Distributed learning in mobile sensor networks using cross validation. CDC 2010: 3845-3850 - [c8]Songhwai Oh, Yunfei Xu, Jongeun Choi
:
Explorative navigation of mobile sensor networks using sparse Gaussian processes. CDC 2010: 3851-3856
2000 – 2009
- 2009
- [j1]Jongeun Choi
, Songhwai Oh, Roberto Horowitz
:
Distributed learning and cooperative control for multi-agent systems. Autom. 45(12): 2802-2814 (2009) - [c7]Yunfei Xu, Jongeun Choi
:
Mobile Sensor Networks for Learning Anisotropic Gaussian Processes. ACC 2009: 5049-5054 - [c6]Muhannad Quwaider, Azizah Muhammad, Jongeun Choi
, Subir Biswas:
Posture-Predictive Power Control in Body Sensor Networks Using Linear-Quadratic Gaussian Control. NetCoM 2009: 52-59 - 2008
- [c5]Jongeun Choi
, Joonho Lee, Songhwai Oh:
Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes. ACC 2008: 135-140 - [c4]Ryozo Nagamune, Jongeun Choi
:
Parameter reduction of nonlinear least-squares estimates via nonconvex optimization. ACC 2008: 1298-1303 - 2007
- [c3]Jongeun Choi
, Songhwai Oh, Roberto Horowitz
:
Cooperatively learning mobile agents for gradient climbing. CDC 2007: 3139-3144 - 2006
- [c2]Jongeun Choi
, Ryozo Nagamune, Roberto Horowitz:
Synthesis of multiple robust controllers for parametric uncertain LTI systems. ACC 2006: 1-8 - 2005
- [c1]Jongeun Choi
, Roberto Horowitz:
Topology preserving neural networks that achieve a prescribed feature map probability density distribution. ACC 2005: 1343-1350
Coauthor Index
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