Подписаться
H.J. Terry Suh
H.J. Terry Suh
Massachusetts Institute of Technology
Подтвержден адрес электронной почты в домене mit.edu - Главная страница
Название
Процитировано
Процитировано
Год
Do differentiable simulators give better policy gradients?
HJ Suh, M Simchowitz, K Zhang, R Tedrake
International Conference on Machine Learning, 20668-20696, 2022
1082022
Global planning for contact-rich manipulation via local smoothing of quasi-dynamic contact models
T Pang, HJT Suh, L Yang, R Tedrake
IEEE Transactions on robotics 39 (6), 4691-4711, 2023
932023
The surprising effectiveness of linear models for visual foresight in object pile manipulation
HJ Suh, R Tedrake
Algorithmic Foundations of Robotics XIV, 347-363, 2020
682020
Bundled gradients through contact via randomized smoothing
HJT Suh, T Pang, R Tedrake
IEEE Robotics and Automation Letters 7 (2), 4000-4007, 2022
552022
Energy-Efficient Motion Planning for Multi-Modal Hybrid Locomotion
HJ Suh, X Xiong, A Singletary, AD Ames, JW Burdick
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
21*2019
Seed: Series elastic end effectors in 6d for visuotactile tool use
HJT Suh, N Kuppuswamy, T Pang, P Mitiguy, A Alspach, R Tedrake
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
122022
Fighting uncertainty with gradients: Offline reinforcement learning via diffusion score matching
HJT Suh, G Chou, H Dai, L Yang, A Gupta, R Tedrake
Conference on Robot Learning, 2878-2904, 2023
92023
Pathologies and challenges of using differentiable simulators in policy optimization for contact-rich manipulation
HJT Suh, M Simchowitz, K Zhang, T Pang, R Tedrake
ICRA 2022 Workshop: Reinforcement Learning for Contact-Rich Manipulation, 2022
32022
End-to-end full-state dynamics of generic rotorcrafts
HT Suh
22018
Comparing effectiveness of relaxation methods for warm starting trajectory optimization through soft contact
HT Suh, Y Wang
12019
Semantic task planning in household environments using temporal logic synthesis
HJ Suh
Unknown, 2018
12018
Towards a humanoid-oriented movement writing
A Stoica, HJ Suh, SM Hewitt, S Bechtle, A Gruebler, Y Iwashita
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
12017
Is Linear Feedback on Smoothed Dynamics Sufficient for Stabilizing Contact-Rich Plans?
Y Shirai, T Zhao, HJ Suh, H Zhu, X Ni, J Wang, M Simchowitz, T Pang
arXiv preprint arXiv:2411.06542, 2024
2024
How Does Noising Data Affect Learned Contact Dynamics?
HJT Suh, M Simchowitz, T Pang, R Tedrake
IROS Workshop: Learning meets Model-based Methods for Grasping and Manipulation, 2023
2023
Predictive Models for Visuomotor Feedback Control in Object Pile Manipulation
HJT Suh
Massachusetts Institute of Technology, 2022
2022
A Fast PRM Planner for Car-like Vehicles
HJ Suh, J Deacon, Q Wang
Design of an Anthropomorphic Closed-Loop Chain Manipulator
HJ Suh, J Deacon, H Keller
Mealy Machine Implementation of a Humanoid-Oriented Movement Writing
A Stoica, KM Liu-Huang, HJ Suh, S Martin, SM Hewitt, S Bechtle
Hierarchical Extended Kalman Filter with Frequent Propagation for UAV Localization
HJ Suh
Design of an Intelligent Bear Robot with Emotional Learning Capabilities for Enhanced Human-Robot Interaction
HJ Suh, WS Lee, JH Seo
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20