Jongeun Choi

Orcid: 0000-0002-7532-5315

According to our database1, Jongeun Choi authored at least 81 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

A Comparison Between Lie Group- and Lie Algebra- Based Potential Functions for Geometric Impedance Control.
CoRR, 2024

AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction.
CoRR, 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

Integration and Evaluation of an Immersive Virtual Platform.
IEEE Access, 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
Correction to "Gaussian Process Online Learning With a Sparse Data Stream".
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

Multi-output Infinite Horizon Gaussian Processes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Multifidelity Sampling for Fast Bayesian Shape Estimation With Tactile Exploration.
IEEE Trans. Ind. Informatics, 2020

Customer-Specific Robotic Attendant for VR Simulators.
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

Gaussian Process Online Learning With a Sparse Data Stream.
IEEE Robotics Autom. Lett., 2020

Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning.
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

Emotion Recognition in Gamers Wearing Head-mounted Display.
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

GA-Based Filter Selection for Representation in Convolutional Neural Networks.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Robotic solutions to facilitate studying human motor control.
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

Inferring human subject motor control intent using inverse MPC.
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

Feature selection for position estimation using an omnidirectional camera.
Image Vis. Comput., 2015

Feedback control of three-bead achiral robotic microswimmers.
Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

Visual feature selection for GP-based localization using an omnidirectional camera.
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
Time-domain optimal experimental design in human postural control testing.
Proceedings of the American Control Conference, 2014

2013
Linear Parameter-Varying Control for Engineering Applications
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4471-5040-4, 2013

Gaussian Process Regression for Sensor Networks Under Localization Uncertainty.
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

Guaranteed ℓ2 to ℓ∞ control for discrete-time polytopic LPV systems.
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

Adaptive Sampling for Learning Gaussian Processes Using Mobile Sensor Networks.
Sensors, 2011

Bayesian prediction and adaptive sampling algorithms for mobile sensor networks.
Proceedings of the American Control Conference, 2011

Dynamic gain-scheduling controller design for port-fuel-injection processes.
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

Explorative navigation of mobile sensor networks using sparse Gaussian processes.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Distributed learning in mobile sensor networks using cross validation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Stochastic adaptive sampling for mobile sensor networks using kernel regression.
Proceedings of the American Control Conference, 2010

Gain-scheduling control of port-fuel-injection processes.
Proceedings of the American Control Conference, 2010

2009
Distributed learning and cooperative control for multi-agent systems.
Autom., 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

Mobile Sensor Networks for Learning Anisotropic Gaussian Processes.
Proceedings of the American Control Conference, 2009

2008
Parameter reduction of nonlinear least-squares estimates via nonconvex optimization.
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
Cooperatively learning mobile agents for gradient climbing.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Synthesis of multiple robust controllers for parametric uncertain LTI systems.
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


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