Jung-Su Ha

Jung-Su Ha

Technische Universität Berlin

H-index: 14

Europe-Germany

About Jung-Su Ha

Jung-Su Ha, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at Technische Universität Berlin, specializes in the field of Robotics, Optimal Control, Motion Planning, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning

Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation

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

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

Structured deep generative models for sampling on constraint manifolds in sequential manipulation

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

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

Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input

Jung-Su Ha Information

University

Position

Learning & Intelligent Systems Max Planck Institute for Intelligent Systems

Citations(all)

578

Citations(since 2020)

526

Cited By

172

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

21

i10Index(since 2020)

17

Email

University Profile Page

Technische Universität Berlin

Google Scholar

View Google Scholar Profile

Jung-Su Ha Skills & Research Interests

Robotics

Optimal Control

Motion Planning

Machine Learning

Top articles of Jung-Su Ha

Title

Journal

Author(s)

Publication Date

Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning

Joaquim Ortiz-Haro

Jung-Su Ha

Danny Driess

Erez Karpas

Marc Toussaint

2023/5/29

Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation

Marc Toussaint

Jason Harris

Jung-Su Ha

Danny Driess

Wolfgang Hönig

2022/10/23

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

2021 IEEE International Conference on Robotics and Automation (ICRA)

Jung-Su Ha*

Young-Jin Park*

Hyeok-Joo Chae

Soon-Seo Park

Han-Lim Choi

2021/4

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

International Journal of Systems Science

Jung-Su Ha

Hyeok-Joo Chae

Han-Lim Choi

2021/8/18

Structured deep generative models for sampling on constraint manifolds in sequential manipulation

Joaquim Ortiz-Haro

Jung-Su Ha

Danny Driess

Marc Toussaint

2022/1/11

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

Danny Driess

Jung-Su Ha

Marc Toussaint

Russ Tedrake

2022/1/11

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

2021 IEEE International Conference on Robotics and Automation (ICRA)

Marc Toussaint

Jung-Su Ha

Ozgur S Oguz

2021/4

Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input

IEEE Robotics and Automation Letters, 2022

Jung-Su Ha

Danny Driess

Marc Toussaint

2021/12/9

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

Danny Driess

Jung-Su Ha

Russ Tedrake

Marc Toussaint

2021/5/30

Learning to solve sequential physical reasoning problems from a scene image

The International Journal of Robotics Research

Danny Driess

Jung-Su Ha

Marc Toussaint

2021/12

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

IEEE Robotics and Automation Letters (RA-L)

Marc Toussaint

Jung-Su Ha

Danny Driess

2020/10

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

Robotics: Science and Systems (R:SS) 2020

Danny Driess

Jung-Su Ha

Marc Toussaint

2020/6/9

Deep visual heuristics: Learning feasibility of mixed-integer programs for manipulation planning

Danny Driess

Ozgur Oguz

Jung-Su Ha

Marc Toussaint

2020/5/31

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

2020 IEEE International Conference on Robotics and Automation (ICRA)

Jung-Su Ha

Danny Driess

Marc Toussaint

2020/3/9

See List of Professors in Jung-Su Ha University(Technische Universität Berlin)

Co-Authors

H-index: 74
Russ Tedrake

Russ Tedrake

Massachusetts Institute of Technology

H-index: 50
Marc Toussaint

Marc Toussaint

Technische Universität Berlin

H-index: 29
Han-Lim Choi

Han-Lim Choi

KAIST

H-index: 26
Jinwhan Kim

Jinwhan Kim

KAIST

H-index: 20
Wolfgang Hönig

Wolfgang Hönig

California Institute of Technology

H-index: 19
Danny Driess

Danny Driess

Universität Stuttgart

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