Follow
Jung-Su Ha
Jung-Su Ha
Learning & Intelligent Systems, TU Berlin, Max Planck Institute for Intelligent Systems
Verified email at tu-berlin.de - Homepage
Title
Cited by
Cited by
Year
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image
D Driess, JS Ha, M Toussaint
Robotics: Science and Systems (R:SS) 2020, 2020
1002020
Deep visual heuristics: Learning feasibility of mixed-integer programs for manipulation planning
D Driess, O Oguz, JS Ha, M Toussaint
2020 IEEE International Conference on Robotics and Automation (ICRA), 9563-9569, 2020
592020
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
D Driess, JS Ha, M Toussaint, R Tedrake
5th Annual Conference on Robot Learning, 2021
452021
Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning
M Toussaint, JS Ha, D Driess
IEEE Robotics and Automation Letters (RA-L), 2020
382020
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input
D Driess*, JS Ha*, R Tedrake, M Toussaint
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021
302021
Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems
JS Ha, YJ Park, HJ Chae, SS Park, HL Choi
Advances in Neural Information Processing Systems, 2018, 2018
292018
MDP-based mission planning for multi-UAV persistent surveillance
BM Jeong, JS Ha, HL Choi
2014 14th International Conference on Control, Automation and Systems (ICCAS …, 2014
272014
Informative path planning and mapping with multiple uavs in wind fields
DH Cho, JS Ha, S Lee, S Moon, HL Choi
Distributed Autonomous Robotic Systems: The 13th International Symposium …, 2018
242018
A Distributed ADMM Approach to Non-Myopic Path Planning for Multi-Target Tracking
SS Park, Y Min, JS Ha, DH Cho, HL Choi
IEEE Access 7, 163589-163603, 2019
202019
Structured deep generative models for sampling on constraint manifolds in sequential manipulation
J Ortiz-Haro, JS Ha, D Driess, M Toussaint
5th Annual Conference on Robot Learning, 2021
192021
Learning to solve sequential physical reasoning problems from a scene image
D Driess, JS Ha, M Toussaint
The International Journal of Robotics Research 40 (12-14), 1435-1466, 2021
182021
Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input
JS Ha, D Driess, M Toussaint
IEEE Robotics and Automation Letters, 2022, 2021
17*2021
A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty
JS Ha, D Driess, M Toussaint
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020
172020
Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models
JS Ha, HJ Chae, HL Choi
IEEE Robotics and Automation Letters 3 (4), 3892-3899, 2018
162018
Position control of mobile two wheeled inverted pendulum robot by sliding mode control
JS Ha, JJ Lee
2012 12th International Conference on Control, Automation and Systems, 715-719, 2012
132012
Co-Optimizing Robot, Environment, and Tool Design via Joint Manipulation Planning
M Toussaint, JS Ha, OS Oguz
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021
122021
Topology-guided path integral approach for stochastic optimal control in cluttered environment
JS Ha, SS Park, HL Choi
Robotics and Autonomous Systems 113, 81-93, 2019
12*2019
A Stochastic Game-Based Approach for Multiple Beyond-Visual-Range Air Combat
JS Ha, HJ Chae, HL Choi
Unmanned Systems 6 (01), 67-79, 2018
122018
A stochastic game-theoretic approach for analysis of multiple cooperative air combat
JS Ha, HJ Chae, HL Choi
2015 American Control Conference (ACC), 3728-3733, 2015
122015
A topology-guided path integral approach for stochastic optimal control
JS Ha, HL Choi
2016 IEEE International Conference on Robotics and Automation (ICRA), 4605-4612, 2016
112016
The system can't perform the operation now. Try again later.
Articles 1–20