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Hyung Ju Terry Suh
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Journal Articles
- 2023
- [j2]Tao Pang
, H. J. Terry Suh
Global Planning for Contact-Rich Manipulation via Local Smoothing of Quasi-Dynamic Contact Models. IEEE Trans. Robotics 39(6): 4691-4711 (2023) - 2022
- [j1]Hyung Ju Terry Suh
Bundled Gradients Through Contact Via Randomized Smoothing. IEEE Robotics Autom. Lett. 7(2): 4000-4007 (2022)
Conference and Workshop Papers
- 2025
- [c7]Yuki Shirai, Tong Zhao, H. J. Terry Suh, Huaijiang Zhu, Xinpei Ni, Jiuguang Wang, Max Simchowitz, Tao Pang:
Is Linear Feedback on Smoothed Dynamics Sufficient for Stabilizing Contact-Rich Plans? ICRA 2025: 11926-11932 - 2023
- [c6]H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake:
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. CoRL 2023: 2878-2904 - 2022
- [c5]Hyung Ju Terry Suh, Max Simchowitz, Kaiqing Zhang, Russ Tedrake:
Do Differentiable Simulators Give Better Policy Gradients? ICML 2022: 20668-20696 - [c4]H. J. Terry Suh, Naveen Kuppuswamy, Tao Pang, Paul Mitiguy, Alex Alspach, Russ Tedrake:
SEED: Series Elastic End Effectors in 6D for Visuotactile Tool Use. IROS 2022: 4684-4691 - 2021
- [c3]H. J. Terry Suh, Russ Tedrake:
The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation. WAFR 2021: 347-363 - 2020
- [c2]Hyung Ju Terry Suh, Xiaobin Xiong, Andrew Singletary, Aaron D. Ames, Joel W. Burdick:
Energy-Efficient Motion Planning for Multi-Modal Hybrid Locomotion. IROS 2020: 7027-7033 - 2017
- [c1]Adrian Stoica
Towards a humanoid-oriented movement writing. SMC 2017: 3266-3271
Informal and Other Publications
- 2025
- [i10]Lujie Yang, H. J. Terry Suh, Tong Zhao, Bernhard Paus Graesdal, Tarik Kelestemur, Jiuguang Wang, Tao Pang, Russ Tedrake:
Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization. CoRR abs/2502.20382 (2025) - [i9]H. J. Terry Suh, Tao Pang, Tong Zhao, Russ Tedrake:
Dexterous Contact-Rich Manipulation via the Contact Trust Region. CoRR abs/2505.02291 (2025) - 2024
- [i8]Yuki Shirai, Tong Zhao, H. J. Terry Suh, Huaijiang Zhu, Xinpei Ni, Jiuguang Wang, Max Simchowitz, Tao Pang:
Is Linear Feedback on Smoothed Dynamics Sufficient for Stabilizing Contact-Rich Plans? CoRR abs/2411.06542 (2024) - 2023
- [i7]H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake:
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. CoRR abs/2306.14079 (2023) - 2022
- [i6]H. J. Terry Suh, Max Simchowitz, Kaiqing Zhang, Russ Tedrake:
Do Differentiable Simulators Give Better Policy Gradients? CoRR abs/2202.00817 (2022) - [i5]Tao Pang, H. J. Terry Suh, Lujie Yang, Russ Tedrake:
Global Planning for Contact-Rich Manipulation via Local Smoothing of Quasi-dynamic Contact Models. CoRR abs/2206.10787 (2022) - 2021
- [i4]H. J. Terry Suh, Tao Pang, Russ Tedrake:
Bundled Gradients through Contact via Randomized Smoothing. CoRR abs/2109.05143 (2021) - [i3]H. J. Terry Suh, Naveen Kuppuswamy, Tao Pang, Paul Mitiguy, Alex Alspach, Russ Tedrake:
SEED: Series Elastic End Effectors in 6D for Visuotactile Tool Use. CoRR abs/2111.01376 (2021) - 2020
- [i2]H. J. Terry Suh, Russ Tedrake:
The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation. CoRR abs/2002.09093 (2020) - 2019
- [i1]Hyung Ju Terry Suh, Xiaobin Xiong, Andrew Singletary, Aaron D. Ames, Joel W. Burdick:
Optimal Motion Planning for Multi-Modal Hybrid Locomotion. CoRR abs/1909.10209 (2019)
Coauthor Index
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