Sungjoon Choi

Orcid: 0000-0002-3049-8212

According to our database1, Sungjoon Choi authored at least 70 papers between 2007 and 2024.

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Bibliography

2024
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents.
IEEE Robotics Autom. Lett., February, 2024

Kinematics-Informed Neural Networks: Enhancing Generalization Performance of Soft Robot Model Identification.
IEEE Robotics Autom. Lett., 2024

Visual Preference Inference: An Image Sequence-Based Preference Reasoning in Tabletop Object Manipulation.
CoRR, 2024

Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematics (MASK).
CoRR, 2024

2023
Elucidating robust learning with uncertainty-aware corruption pattern estimation.
Pattern Recognit., June, 2023

Past as a Guide: Leveraging Retrospective Learning for Python Code Completion.
CoRR, 2023

SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems.
CoRR, 2023

Towards Text-based Human Search and Approach with an Intelligent Robot Dog.
CoRR, 2023

Flexible Control and Task Manager System for Non-Contact Delivery Robots in COVID-19 Isolated Facilities.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Zero-shot Active Visual Search (ZAVIS): Intelligent Object Search for Robotic Assistants.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Robust Detection for Autonomous Elevator Boarding Using a Mobile Manipulator.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

Towards Explainable Computer Vision Methods via Uncertainty Activation Map.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

FLAME: Free-Form Language-Based Motion Synthesis & Editing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Conditional motion in-betweening.
Pattern Recognit., 2022

Learning Joint Representation of Human Motion and Language.
CoRR, 2022

Active Visual Search in the Wild.
CoRR, 2022

Learning-based Motion Stabilizer Leveraging Offline Temporal Optimization.
Proceedings of the 19th International Conference on Ubiquitous Robots, 2022

Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Polyblur: Removing Mild Blur by Polynomial Reblurring.
IEEE Trans. Computational Imaging, 2021

Elucidating Noisy Data via Uncertainty-Aware Robust Learning.
CoRR, 2021

Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation.
CoRR, 2021

Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving.
CoRR, 2021

Learning Robot Structure and Motion Embeddings using Graph Neural Networks.
CoRR, 2021

Self-Supervised Motion Retargeting with Safety Guarantee.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Cross-Domain Motion Transfer via Safety-Aware Shared Latent Space Modeling.
IEEE Robotics Autom. Lett., 2020

Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots.
Proceedings of the Robotics: Science and Systems XVI, 2020

Nonparametric Motion Retargeting for Humanoid Robots on Shared Latent Space.
Proceedings of the Robotics: Science and Systems XVI, 2020

Realistic and Interactive Robot Gaze.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes.
IEEE Trans. Robotics, 2019

Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning.
CoRR, 2019

Towards a Natural Motion Generator: a Pipeline to Control a Humanoid based on Motion Data.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Trajectory-based Probabilistic Policy Gradient for Learning Locomotion Behaviors.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Structured Kernel Subspace Learning for Autonomous Robot Navigation.
Sensors, 2018

Sparse Markov Decision Processes With Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning.
IEEE Robotics Autom. Lett., 2018

Online Learning to Approach a Person With No Regret.
IEEE Robotics Autom. Lett., 2018

Interactive Text2Pickup Networks for Natural Language-Based Human-Robot Collaboration.
IEEE Robotics Autom. Lett., 2018

Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration.
CoRR, 2018

ChoiceNet: Robust Learning by Revealing Output Correlations.
CoRR, 2018

Chance-constrained target tracking using sensors with bounded fan-shaped sensing regions.
Auton. Robots, 2018

Maximum Causal Tsallis Entropy Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Nonparametric Motion Flow Model for Human Robot Cooperation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Fast, Trainable, Multiscale Denoising.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

BLADE: Filter learning for general purpose computational photography.
Proceedings of the 2018 IEEE International Conference on Computational Photography, 2018

Unsupervised Holistic Image Generation from Key Local Patches.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Real-time nonparametric reactive navigation of mobile robots in dynamic environments.
Robotics Auton. Syst., 2017

BLADE: Filter Learning for General Purpose Image Processing.
CoRR, 2017

Self-correcting online navigation via leveraged Gaussian processes.
Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017

A multi-agent coverage algorithm with connectivity maintenance.
Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017

Scalable robust learning from demonstration with leveraged deep neural networks.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Vision-Based Coordinated Localization for Mobile Sensor Networks.
IEEE Trans Autom. Sci. Eng., 2016

A Large Dataset of Object Scans.
CoRR, 2016

Density Matching Reward Learning.
CoRR, 2016

Inverse reinforcement learning with leveraged Gaussian processes.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Robust modeling and prediction in dynamic environments using recurrent flow networks.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Gaussian random paths for real-time motion planning.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Chance-constrained target tracking for mobile robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Structured low-rank matrix approximation in Gaussian process regression for autonomous robot navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Leveraged non-stationary Gaussian process regression for autonomous robot navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Robust reconstruction of indoor scenes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
A robust autoregressive gaussian process motion model using l1-norm based low-rank kernel matrix approximation.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Real-time navigation in crowded dynamic environments using Gaussian process motion control.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Human behavior prediction for smart homes using deep learning.
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013

Distributed Gaussian process regression for mobile sensor networks under localization uncertainty.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2010
Understanding the Effectiveness of a Co-Located Wireless Channel Monitoring Surrogate System.
Proceedings of IEEE International Conference on Communications, 2010

2007
Leader-Based Rate Adaptive Multicasting for Wireless LANs.
Proceedings of the Global Communications Conference, 2007


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