Jung-Su Ha

46 papers A* 9A 1C 1Misc 2Journal 28Unranked 5
YearRankTypeTitle / Venue / Authors
2023 A* conf
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning.
ICRA
Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint
2022 J jnl
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning From Visual Input.
IEEE Robotics Autom. Lett.
Jung-Su Ha, Danny Driess, Marc Toussaint
2022 J jnl
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning.
CoRR
Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint
2022 A conf
Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation.
IROS
Marc Toussaint, Jason Harris, Jung-Su Ha, Danny Driess, Wolfgang Hönig
2022 J jnl
Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation.
CoRR
Marc Toussaint, Jason Harris, Jung-Su Ha, Danny Driess, Wolfgang Hönig
2021 J jnl
A diffusion wavelets-based multiscale framework for inverse optimal control of stochastic systems.
Int. J. Syst. Sci.
Jung-Su Ha, Hyeok-Joo Chae, Han-Lim Choi
2021 A* conf
Co-Optimizing Robot, Environment, and Tool Design via Joint Manipulation Planning.
ICRA
Marc Toussaint, Jung-Su Ha, Ozgur S. Oguz
2021 A* conf
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning.
ICRA
Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi
2021 A* conf
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input.
ICRA
Danny Driess, Jung-Su Ha, Russ Tedrake, Marc Toussaint
2021 Misc conf
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning.
CoRL
Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake
2021 J jnl
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning.
CoRR
Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake
2021 J jnl
Learning Neural Implicit Functions as Object Representations for Robotic Manipulation.
CoRR
Jung-Su Ha, Danny Driess, Marc Toussaint
2021 J jnl
Learning to solve sequential physical reasoning problems from a scene image.
Int. J. Robotics Res.
Danny Driess, Jung-Su Ha, Marc Toussaint
2021 Misc conf
Structured deep generative models for sampling on constraint manifolds in sequential manipulation.
CoRL
Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Marc Toussaint
2020 A* conf
A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty.
ICRA
Jung-Su Ha, Danny Driess, Marc Toussaint
2020 A* conf
Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning.
ICRA
Danny Driess, Ozgur S. Oguz, Jung-Su Ha, Marc Toussaint
2020 — conf
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image.
Robotics: Science and Systems
Danny Driess, Jung-Su Ha, Marc Toussaint
2020 J jnl
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image.
CoRR
Danny Drieß, Jung-Su Ha, Marc Toussaint
2020 J jnl
Describing Physics For Physical Reasoning: Force-Based Sequential Manipulation Planning.
IEEE Robotics Autom. Lett.
Marc Toussaint, Jung-Su Ha, Danny Driess
2020 J jnl
Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning.
CoRR
Marc Toussaint, Jung-Su Ha, Danny Drieß
2020 J jnl
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning.
CoRR
Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi
2020 J jnl
Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty.
CoRR
Jung-Su Ha, Danny Drieß, Marc Toussaint
2019 J jnl
A Distributed ADMM Approach to Non-Myopic Path Planning for Multi-Target Tracking.
IEEE Access
Soon-Seo Park, Youngjae Min, Jung-Su Ha, Doo-Hyun Cho, Han-Lim Choi
2019 J jnl
On periodic optimal solutions of persistent sensor planning for continuous-time linear systems.
Autom.
Jung-Su Ha, Han-Lim Choi
2019 J jnl
Topology-guided path integral approach for stochastic optimal control in cluttered environment.
Robotics Auton. Syst.
Jung-Su Ha, Soon-Seo Park, Han-Lim Choi
2018 J jnl
A Distributed ADMM Approach to Informative Trajectory Planning for Multi-Target Tracking.
CoRR
Soon-Seo Park, Jung-Su Ha, Doo-Hyun Cho, Han-Lim Choi
2018 J jnl
A Stochastic Game-Based Approach for Multiple Beyond-Visual-Range Air Combat.
Unmanned Syst.
Jung-Su Ha, Hyeok-Joo Chae, Han-Lim Choi
2018 — conf
Adaptive Path-Integral Approach for Representation Learning and Planning.
ICLR (Workshop)
Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi
2018 J jnl
Adaptive Path-Integral Approach to Representation Learning and Planning for Dynamical Systems.
CoRR
Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi
2018 A* conf
Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems.
NeurIPS
Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi
2018 J jnl
Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models.
IEEE Robotics Autom. Lett.
Jung-Su Ha, Hyeok-Joo Chae, Han-Lim Choi
2018 J jnl
Iterative methods for efficient sampling-based optimal motion planning of nonlinear systems.
Int. J. Appl. Math. Comput. Sci.
Jung-Su Ha, Han-Lim Choi, Jeong hwan Jeon
2017 J jnl
High-dimensional Motion Planning using Latent Variable Models via Approximate Inference.
CoRR
Jung-Su Ha, Hyeok-Joo Chae, Han-Lim Choi
2017 A* conf
Multiscale abstraction, planning and control using diffusion wavelets for stochastic optimal control problems.
ICRA
Jung-Su Ha, Han-Lim Choi
2016 A* conf
A topology-guided path integral approach for stochastic optimal control.
ICRA
Jung-Su Ha, Han-Lim Choi
2016 J jnl
Asymptotically Optimal Sampling-Based Algorithms for Topological Motion Planning.
CoRR
Jung-Su Ha, Soon-Seo Park, Han-Lim Choi
2016 — conf
Informative Path Planning and Mapping with Multiple UAVs in Wind Fields.
DARS
Doo-Hyun Cho, Jung-Su Ha, Su-Jin Lee, Sunghyun Moon, Han-Lim Choi
2016 J jnl
Informative Path Planning and Mapping with Multiple UAVs in Wind Fields.
CoRR
Doo-Hyun Cho, Jung-Su Ha, Su-Jin Lee, Sunghyun Moon, Han-Lim Choi
2016 J jnl
Iterative Methods for Efficient Sampling-Based Optimal Motion Planning of Nonlinear Systems.
CoRR
Jung-Su Ha, Han-Lim Choi, Jeong hwan Jeon
2016 J jnl
Multiscale Abstraction, Planning and Control using Diffusion Wavelets for Stochastic Optimal Control Problems.
CoRR
Jung-Su Ha, Han-Lim Choi
2016 J jnl
Multiscale Inverse Reinforcement Learning using Diffusion Wavelets.
CoRR
Jung-Su Ha, Han-Lim Choi
2015 C conf
A stochastic game-theoretic approach for analysis of multiple cooperative air combat.
ACC
Jung-Su Ha, Hyeok-Joo Chae, Han-Lim Choi
2015 J jnl
An Efficient Path Integral Approach for Stochastic Optimal Control with a Topology-Embedded Sampling-Based Planner.
CoRR
Jung-Su Ha, Han-Lim Choi
2015 J jnl
Informative windowed forecasting of continuous-time linear systems for mutual information-based sensor planning.
Autom.
Han-Lim Choi, Jung-Su Ha
2014 — conf
Periodic sensing trajectory generation for persistent monitoring.
CDC
Jung-Su Ha, Han-Lim Choi
2013 — conf
A successive approximation-based approach for optimal kinodynamic motion planning with nonlinear differential constraints.
CDC
Jung-Su Ha, Ju-Jang Lee, Han-Lim Choi