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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) - [c37]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. ACC 2024: 1335-1342 - [c36]Hyunwoo Ryu, Jiwoo Kim, Hyunseok An, Junwoo Chang, Joohwan Seo, Taehan Kim, Yubin Kim, Chaewon Hwang, Jongeun Choi, Roberto Horowitz:
Diffusion-EDFs: Bi-Equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation. CVPR 2024: 18007-18018 - [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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