| 2023 | ICRA | Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning. | Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Erez Karpas, Marc Toussaint |
| 2022 | IROS | Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation. | Marc Toussaint, Jason Harris, Jung-Su Ha, Danny Driess, Wolfgang Hnig |
| 2021 | CoRL | Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning. | Danny Driess, Jung-Su Ha, Marc Toussaint, Russ Tedrake |
| 2021 | CoRL | Structured deep generative models for sampling on constraint manifolds in sequential manipulation. | Joaquim Ortiz de Haro, Jung-Su Ha, Danny Driess, Marc Toussaint |
| 2021 | ICRA | Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input. | Danny Driess, Jung-Su Ha, Russ Tedrake, Marc Toussaint |
| 2021 | ICRA | Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning. | Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi |
| 2021 | ICRA | Co-Optimizing Robot, Environment, and Tool Design via Joint Manipulation Planning. | Marc Toussaint, Jung-Su Ha, Ozgur S. Oguz |
| 2020 | ICRA | Deep Visual Heuristics: Learning Feasibility of Mixed-Integer Programs for Manipulation Planning. | Danny Driess, Ozgur S. Oguz, Jung-Su Ha, Marc Toussaint |
| 2020 | ICRA | A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty. | Jung-Su Ha, Danny Driess, Marc Toussaint |
| 2018 | ICLR | Adaptive Path-Integral Approach for Representation Learning and Planning. | Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, Han-Lim Choi |
| 2017 | ICRA | Multiscale abstraction, planning and control using diffusion wavelets for stochastic optimal control problems. | Jung-Su Ha, Han-Lim Choi |
| 2016 | ICRA | A topology-guided path integral approach for stochastic optimal control. | Jung-Su Ha, Han-Lim Choi |