Jongeun Choi
Orcid: 0000-0002-7532-5315
According to our database1,
Jongeun Choi
authored at least 84 papers
between 2005 and 2024.
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Bibliography
2024
Autonomous Robot Racing Competitions: Truly Multivehicle Autonomous Racing Competitions [Competitions].
IEEE Robotics Autom. Mag., March, 2024
Contact-Rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control.
IEEE Robotics Autom. Lett., February, 2024
CoRR, 2024
IEEE Access, 2024
An Online Guide System for Improving Driving Skills on the Race Track: Visual Feedback Approach.
Proceedings of the HCI International 2024 Posters, 2024
Diffusion-EDFs: Bi-Equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
A Comparison Between Lie Group- and Lie Algebra- Based Potential Functions for Geometric Impedance Control.
Proceedings of the American Control Conference, 2024
2023
Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement.
Comput. Methods Programs Biomed., May, 2023
Suspension Control Strategies Using Switched Soft Actor-Critic Models for Real Roads.
IEEE Trans. Ind. Electron., 2023
Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations.
Eng. Appl. Artif. Intell., 2023
Clustering Techniques for Stable Linear Dynamical Systems with applications to Hard Disk Drives.
CoRR, 2023
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning.
CoRR, 2023
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation.
CoRR, 2023
Robot Manipulation Task Learning by Leveraging SE(3) Group Invariance and Equivariance.
CoRR, 2023
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Nonaffine Helicopter Control Design and Implementation Based on a Robust Explicit Nonlinear Model Predictive Control.
IEEE Trans. Control. Syst. Technol., 2022
Safety-Critical Control With Nonaffine Control Inputs Via a Relaxed Control Barrier Function for an Autonomous Vehicle.
IEEE Robotics Autom. Lett., 2022
Hierarchical Primitive Composition: Simultaneous Activation of Skills With Inconsistent Action Dimensions in Multiple Hierarchies.
IEEE Robotics Autom. Lett., 2022
Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position tracking.
Eng. Appl. Artif. Intell., 2022
Layered Cost-Map-Based Traffic Management for Multiple Automated Mobile Robots via a Data Distribution Service.
CoRR, 2022
Behavior Tree-Based Asynchronous Task Planning for Multiple Mobile Robots using a Data Distribution Service.
CoRR, 2022
Nonlinear Model Predictive Control with Cost Function Scheduling for a Wheeled Mobile Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022
2021
IEEE Robotics Autom. Lett., 2021
Attaining Interpretability in Reinforcement Learning via Hierarchical Primitive Composition.
CoRR, 2021
Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters.
CoRR, 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.
Comput. Methods Programs Biomed., 2021
Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications.
Comput. Biol. Medicine, 2021
Output feedback control design using Extended High-Gain Observers and dynamic inversion with projection for a small scaled helicopter.
Autom., 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
IEEE Trans. Ind. Informatics, 2020
IEEE Trans Autom. Sci. Eng., 2020
Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding Into Euclidean Spaces.
IEEE Trans. Autom. Control., 2020
IEEE Robotics Autom. Lett., 2020
IEEE Access, 2020
2019
Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration.
IEEE J. Biomed. Health Informatics, 2019
Driving Assistant Companion With Voice Interface Using Long Short-Term Memory Networks.
IEEE Trans. Ind. Informatics, 2019
Prediction of Abdominal Aortic Aneurysm Growth Using Dynamical Gaussian Process Implicit Surface.
IEEE Trans. Biomed. Eng., 2019
Inferring Control Intent During Seated Balance Using Inverse Model Predictive Control.
IEEE Robotics Autom. Lett., 2019
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019
2018
Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization Using Gaussian Markov Random Fields.
Sensors, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
2017
Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017
2016
Tracking Heteroscedastic Progression of Opinions with an Aggregation Bias Correction Model.
Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016
New implementation of high-gain observers in the presence of measurement noise using stochastic approximation.
Proceedings of the 15th European Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Solutions to the Inverse LQR Problem With Application to Biological Systems Analysis.
IEEE Trans. Control. Syst. Technol., 2015
Image Vis. Comput., 2015
Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015
Proceedings of the American Control Conference, 2015
Appearance-based localization using Group LASSO regression with an indoor experiment.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015
2014
Proceedings of the American Control Conference, 2014
2013
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4471-5040-4, 2013
IEEE Trans. Signal Process., 2013
Mixed H<sub>2</sub>/H<sub>∞</sub> Observer-Based LPV Control of a Hydraulic Engine Cam Phasing Actuator.
IEEE Trans. Control. Syst. Technol., 2013
Environmental Monitoring Using Autonomous Aquatic Robots: Sampling Algorithms and Experiments.
IEEE Trans. Control. Syst. Technol., 2013
Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields.
Autom., 2013
Distributed Gaussian process regression for mobile sensor networks under localization uncertainty.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the American Control Conference, 2013
Dynamic, output-feedback, gain-scheduling control of an electric variable valve timing system.
Proceedings of the American Control Conference, 2013
Fully Bayesian simultaneous localization and spatial prediction using Gaussian Markov random fields (GMRFs).
Proceedings of the American Control Conference, 2013
2012
Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks.
IEEE Trans. Autom. Control., 2012
Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields.
Autom., 2012
A unified Bayesian approach for prediction and detection using mobile sensor networks.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Gaussian process regression using Laplace approximations under localization uncertainty.
Proceedings of the American Control Conference, 2012
2011
Mobile Sensor Network Navigation Using Gaussian Processes With Truncated Observations.
IEEE Trans. Robotics, 2011
Hardware-in-the-Loop Simulation of Robust Gain-Scheduling Control of Port-Fuel-Injection Processes.
IEEE Trans. Control. Syst. Technol., 2011
Sensors, 2011
Proceedings of the American Control Conference, 2011
Proceedings of the American Control Conference, 2011
2010
Learning Coverage Control of Mobile Sensing Agents in One-Dimensional Stochastic Environments.
IEEE Trans. Autom. Control., 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the American Control Conference, 2010
Proceedings of the American Control Conference, 2010
2009
Posture-Predictive Power Control in Body Sensor Networks Using Linear-Quadratic Gaussian Control.
Proceedings of the First International Conference on Networks and Communications, 2009
Proceedings of the American Control Conference, 2009
2008
Proceedings of the American Control Conference, 2008
Swarm intelligence for achieving the global maximum using spatio-temporal Gaussian processes.
Proceedings of the American Control Conference, 2008
2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
Proceedings of the American Control Conference, 2006
2005
Topology preserving neural networks that achieve a prescribed feature map probability density distribution.
Proceedings of the American Control Conference, 2005