Jung-Su Ha

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Adaptive Path-Integral Approach to Representation Learning and Planning for Dynamical Systems pdf

Han-Lim Choi, Jung-Su Ha, Young-Jin Park, 2018, ArXiv.

Position control of mobile two wheeled inverted pendulum robot by sliding mode control

Jung-Su Ha, Ju-Jang Lee, Jujang Lee, 2012, 2012 12th International Conference on Control, Automation and Systems.

Adaptive path-integral autoencoder: representation learning and planning for dynamical systems

Han-Lim Choi, Jung-Su Ha, Young-Jin Park, 2018, NeurIPS.

SA-RRT* : Successive approximation-based optimal motion planning for systems with nonlinear differential constraints = SA-RRT* : 연속적인 근사 기반 비선형 제약을 가진 시스템의 최적 운동 계획 알고리즘

Jung-Su Ha, 하정수, 2013 .

Multiscale abstraction, planning and control using diffusion wavelets for stochastic optimal control problems

Han-Lim Choi, Jung-Su Ha, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

A stochastic game-theoretic approach for analysis of multiple cooperative air combat

Han-Lim Choi, Jung-Su Ha, Hyeok-Joo Chae, 2015, 2015 American Control Conference (ACC).

A successive approximation-based approach for optimal kinodynamic motion planning with nonlinear differential constraints

Han-Lim Choi, Jung-Su Ha, Ju-Jang Lee, 2013, 52nd IEEE Conference on Decision and Control.

Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning

Jung-Su Ha, Danny Driess, Marc Toussaint, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

MDP-based mission planning for multi-UAV persistent surveillance

Han-Lim Choi, Jung-Su Ha, Byeong-Min Jeong, 2014, 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014).

Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models

Han-Lim Choi, Jung-Su Ha, Hyeok-Joo Chae, 2018, IEEE Robotics and Automation Letters.

Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning pdf

Han-Lim Choi, Jung-Su Ha, Hyeok-Joo Chae, 2020, ArXiv.

Topology-guided path integral approach for stochastic optimal control in cluttered environment

Han-Lim Choi, Jung-Su Ha, Soon-Seo Park, 2019, Robotics Auton. Syst..

A Distributed ADMM Approach to Non-Myopic Path Planning for Multi-Target Tracking

Han-Lim Choi, Jung-Su Ha, Soon-Seo Park, 2018, IEEE Access.

Periodic sensing trajectory generation for persistent monitoring

Han-Lim Choi, Jung-Su Ha, 2014, 53rd IEEE Conference on Decision and Control.

On periodic optimal solutions of persistent sensor planning for continuous-time linear systems

Han-Lim Choi, Jung-Su Ha, 2019, Autom..

A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty

Jung-Su Ha, Danny Driess, Marc Toussaint, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning

Jung-Su Ha, Danny Driess, Marc Toussaint, 2020, IEEE Robotics and Automation Letters.

High-dimensional Motion Planning using Latent Variable Models via Approximate Inference pdf

Han-Lim Choi, Jung-Su Ha, Hyeok-Joo Chae, 2017, ArXiv.

A topology-guided path integral approach for stochastic optimal control

Han-Lim Choi, Jung-Su Ha, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Learning to Reason: Distilling Hierarchy via Self-Supervision and Reinforcement Learning

Han-Lim Choi, Jung-Su Ha, Hyeok-Joo Chae, 2019 .

A Distributed ADMM Approach to Informative Trajectory Planning for Multi-Target Tracking.

Han-Lim Choi, Jung-Su Ha, Soon-Seo Park, 2018 .

An Efficient Path Integral Approach for Stochastic Optimal Control with a Topology-Embedded Sampling-Based Planner pdf

Han-Lim Choi, Jung-Su Ha, 2015, ArXiv.

Asymptotically Optimal Sampling-Based Algorithms for Topological Motion Planning pdf

Han-Lim Choi, Jung-Su Ha, Soon-Seo Park, 2016, ArXiv.

A Stochastic Game-Based Approach for Multiple Beyond-Visual-Range Air Combat

Han-Lim Choi, Jung-Su Ha, Hyeok-Joo Chae, 2018, Unmanned Syst..

Informative windowed forecasting of continuous-time linear systems for mutual information-based sensor planning

Han-Lim Choi, Jung-Su Ha, Han-Lim Choi, 2015, Autom..

Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image pdf

Jung-Su Ha, Danny Driess, Marc Toussaint, 2020, Robotics: Science and Systems.

Informative Path Planning and Mapping with Multiple UAVs in Wind Fields

Su-Jin Lee, Han-Lim Choi, Jung-Su Ha, 2016, DARS.

Adaptive Path-Integral Approach for Representation Learning and Planning

Han-Lim Choi, Jung-Su Ha, Young-Jin Park, 2018, ICLR.

Iterative methods for efficient sampling-based optimal motion planning of nonlinear systems

Han-Lim Choi, Jung-Su Ha, Jeong Hwan Jeon, 2016, Int. J. Appl. Math. Comput. Sci..

Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input

Jung-Su Ha, Russ Tedrake, Danny Driess, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Learning Neural Implicit Functions as Object Representations for Robotic Manipulation pdf

Marc Toussaint, Jung-Su Ha, Danny Driess, 2021, ArXiv.

A diffusion wavelets-based multiscale framework for inverse optimal control of stochastic systems

Han-Lim Choi, Jung-Su Ha, Hyeok-Joo Chae, 2021, Int. J. Syst. Sci..

Co-Optimizing Robot, Environment, and Tool Design via Joint Manipulation Planning

Marc Toussaint, Jung-Su Ha, Ozgur S. Oguz, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning

Marc Toussaint, Jung-Su Ha, Russ Tedrake, 2021, CoRL.

Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning

Han-Lim Choi, Jung-Su Ha, Hyeok-Joo Chae, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).