| 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 | 106 | 2020 |
| 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 | 65 | 2020 |
| 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 | 54 | 2021 |
| Describing Physics For Physical Reasoning: Force-based Sequential Manipulation Planning M Toussaint, JS Ha, D Driess IEEE Robotics and Automation Letters (RA-L), 2020 | 42 | 2020 |
| 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 | 33 | 2021 |
| 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 | 29 | 2018 |
| 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 | 29 | 2014 |
| 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 | 25 | 2018 |
| 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 | 23 | 2021 |
| 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 | 22 | 2021 |
| 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 | 22 | 2019 |
| 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 | 19 | 2020 |
| 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 |
| 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 | 16 | 2018 |
| Sequence-of-Constraints MPC: Reactive Timing-Optimal Control of Sequential Manipulation M Toussaint, J Harris, JS Ha, D Driess, W Hönig 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 14 | 2022 |
| 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 | 14 | 2018 |
| 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 | 14 | 2012 |
| 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 | 13 | 2021 |
| 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-theoretic approach for analysis of multiple cooperative air combat JS Ha, HJ Chae, HL Choi 2015 American Control Conference (ACC), 3728-3733, 2015 | 12 | 2015 |
Han-Lim ChoiKorea Advanced Institute of Science and Technology在 kaist.ac.kr 的电子邮件经过验证
