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2020 – today
- 2023
[c29]Joanne Taery Kim, Wenhao Yu, Jie Tan, Greg Turk, Sehoon Ha:
How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. HRI (Companion) 2023: 221-225- 2022
- [j10]Andras Karsai
, Deniz Kerimoglu, Daniel Soto, Sehoon Ha, Tingnan Zhang, Daniel I. Goldman:
Real-Time Remodeling of Granular Terrain for Robot Locomotion. Adv. Intell. Syst. 4(12) (2022) - [j9]Maks Sorokin, Jie Tan, C. Karen Liu, Sehoon Ha:
Learning to Navigate Sidewalks in Outdoor Environments. IEEE Robotics Autom. Lett. 7(2): 3906-3913 (2022) - [c28]Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. ICRA 2022: 1593-1599 - [c27]Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha:
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning. ICRA 2022: 5567-5573 - [c26]K. Niranjan Kumar, Irfan Essa, Sehoon Ha:
Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning. ICRA 2022: 7521-7527 - [c25]Naoki Yokoyama, Qian Luo, Dhruv Batra, Sehoon Ha:
Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge. IROS 2022: 1748-1755 - [c24]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. IROS 2022: 2454-2461 - [c23]Ren Liu, Nitish Sontakke, Sehoon Ha:
PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion. IROS 2022: 4063-4069 - [c22]Sunwoo Kim, Maks Sorokin, Jehee Lee, Sehoon Ha:
HumanConQuad: Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning. SIGGRAPH ASIA Emerging Technologies 2022: 5:1-5:2 - [i28]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. CoRR abs/2203.02638 (2022) - [i27]Sunwoo Kim, Maks Sorokin, Jehee Lee, Sehoon Ha:
Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning. CoRR abs/2204.13336 (2022) - [i26]Taylor Hearn, Sravan Jayanthi, Sehoon Ha:
Unified State Representation Learning under Data Augmentation. CoRR abs/2209.05302 (2022) - [i25]Simar Kareer, Naoki Yokoyama, Dhruv Batra, Sehoon Ha, Joanne Truong:
ViNL: Visual Navigation and Locomotion Over Obstacles. CoRR abs/2210.14791 (2022) - [i24]K. Niranjan Kumar, Irfan Essa, Sehoon Ha:
Cascaded Compositional Residual Learning for Complex Interactive Behaviors. CoRR abs/2212.08954 (2022) - 2021
- [j8]Maks Sorokin, Wenhao Yu, Sehoon Ha, C. Karen Liu:
Learning Human Search Behavior from Egocentric Visual Inputs. Comput. Graph. Forum 40(2): 389-398 (2021) - [c21]Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang:
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision. CoRL 2021: 1291-1302 - [c20]Miguel Zamora, Momchil Peychev, Sehoon Ha, Martin T. Vechev, Stelian Coros:
PODS: Policy Optimization via Differentiable Simulation. ICML 2021: 7805-7817 - [c19]Joanne Taery Kim, Sehoon Ha:
Observation Space Matters: Benchmark and Optimization Algorithm. ICRA 2021: 1527-1534 - [c18]Qian Luo, Maks Sorokin, Sehoon Ha:
A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning. ICRA 2021: 13231-13237 - [c17]Naoki Yokoyama, Sehoon Ha, Dhruv Batra:
Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation. IROS 2021: 1562-1569 - [c16]Visak C. V. Kumar, Sehoon Ha, C. Karen Liu:
Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments. Robotics: Science and Systems 2021 - [i23]Visak C. V. Kumar, Sehoon Ha, C. Karen Liu:
Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments. CoRR abs/2103.07732 (2021) - [i22]Naoki Yokoyama, Sehoon Ha, Dhruv Batra:
Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation. CoRR abs/2103.08022 (2021) - [i21]Maks Sorokin, Jie Tan, C. Karen Liu, Sehoon Ha:
Learning to Navigate Sidewalks in Outdoor Environments. CoRR abs/2109.05603 (2021) - [i20]Joanne Taery Kim, Jeongeun Park, Sungjoon Choi, Sehoon Ha:
Learning Robot Structure and Motion Embeddings using Graph Neural Networks. CoRR abs/2109.07543 (2021) - [i19]K. Niranjan Kumar, Irfan Essa, Sehoon Ha:
Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning. CoRR abs/2109.10460 (2021) - [i18]Naoki Yokoyama, Qian Luo, Dhruv Batra, Sehoon Ha:
Learning Robust Agents for Visual Navigation in Dynamic Environments: The Winning Entry of iGibson Challenge 2021. CoRR abs/2109.10493 (2021) - [i17]Ren Liu, Nitish Sontakke, Sehoon Ha:
Finite State Machine Policies Modulating Trajectory Generator. CoRR abs/2109.12696 (2021) - [i16]Nitish Sontakke, Sehoon Ha:
Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning. CoRR abs/2109.13338 (2021) - [i15]Tianyu Li, Jungdam Won, Sehoon Ha, Akshara Rai:
Model-based Motion Imitation for Agile, Diverse and Generalizable Quadupedal Locomotion. CoRR abs/2109.13362 (2021) - [i14]Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha:
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning. CoRR abs/2109.14325 (2021) - [i13]Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. CoRR abs/2110.05457 (2021) - 2020
- [j7]Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha:
Learning Fast Adaptation With Meta Strategy Optimization. IEEE Robotics Autom. Lett. 5(2): 2950-2957 (2020) - [j6]Sehoon Ha:
Quadrupedal robots trot into the wild. Sci. Robotics 5(47): 5218 (2020) - [c15]Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan:
Learning to Walk in the Real World with Minimal Human Effort. CoRL 2020: 1110-1120 - [c14]Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. ICRA 2020: 679-685 - [c13]Visak C. V. Kumar, Sehoon Ha, Gregory Sawicki, C. Karen Liu:
Learning a Control Policy for Fall Prevention on an Assistive Walking Device. ICRA 2020: 4833-4840 - [i12]Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan:
Learning to Walk in the Real World with Minimal Human Effort. CoRR abs/2002.08550 (2020) - [i11]Krishnan Srinivasan, Benjamin Eysenbach, Sehoon Ha, Jie Tan, Chelsea Finn:
Learning to be Safe: Deep RL with a Safety Critic. CoRR abs/2010.14603 (2020) - [i10]Joanne Taery Kim, Sehoon Ha:
Observation Space Matters: Benchmark and Optimization Algorithm. CoRR abs/2011.00756 (2020) - [i9]Qian Luo, Maks Sorokin, Sehoon Ha:
A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning. CoRR abs/2011.03609 (2020) - [i8]Maks Sorokin, Wenhao Yu, Sehoon Ha, C. Karen Liu:
Learning Human Search Behavior from Egocentric Visual Inputs. CoRR abs/2011.03618 (2020)
2010 – 2019
- 2019
- [c12]Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, Jie Tan, George Tucker, Sergey Levine:
Learning to Walk Via Deep Reinforcement Learning. Robotics: Science and Systems 2019 - [i7]Visak C. V. Kumar, Sehoon Ha, Gregory Sawicki, C. Karen Liu:
Learning a Control Policy for Fall Prevention on an Assistive Walking Device. CoRR abs/1909.10488 (2019) - [i6]Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. CoRR abs/1909.12971 (2019) - [i5]Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha:
Learning Fast Adaptation with Meta Strategy Optimization. CoRR abs/1909.12995 (2019) - 2018
- [j5]Sehoon Ha, Stelian Coros, Alexander Alspach, Joohyung Kim, Katsu Yamane:
Computational co-optimization of design parameters and motion trajectories for robotic systems. Int. J. Robotics Res. 37(13-14) (2018) - [d1]Jeongseok Lee, Michael X. Grey, Sehoon Ha, Tobias Kunz, Sumit Jain, Yuting Ye, Siddhartha S. Srinivasa, Mike Stilman, C. Karen Liu:
DART: Dynamic Animation and Robotics Toolkit. J. Open Source Softw. 3(22): 500 (2018) - [j4]Sehoon Ha, Stelian Coros, Alexander Alspach, James M. Bern, Joohyung Kim, Katsu Yamane:
Computational Design of Robotic Devices From High-Level Motion Specifications. IEEE Trans. Robotics 34(5): 1240-1251 (2018) - [c11]Visak C. V. Kumar, Sehoon Ha, C. Karen Liu:
Expanding Motor Skills using Relay Networks. CoRL 2018: 744-756 - [c10]Visak C. V. Kumar, Sehoon Ha, Katsu Yamane:
Improving Model-Based Balance Controllers Using Reinforcement Learning and Adaptive Sampling. ICRA 2018: 7541-7547 - [c9]Kuo Chen, Sehoon Ha, Katsu Yamane:
Learning Hardware Dynamics Model from Experiments for Locomotion Optimization. IROS 2018: 3807-3814 - [c8]Sehoon Ha, Joohyung Kim, Katsu Yamane:
Automated Deep Reinforcement Learning Environment for Hardware of a Modular Legged Robot. UR 2018: 348-354 - [i4]Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine:
Soft Actor-Critic Algorithms and Applications. CoRR abs/1812.05905 (2018) - [i3]Tuomas Haarnoja, Aurick Zhou, Sehoon Ha, Jie Tan, George Tucker, Sergey Levine:
Learning to Walk via Deep Reinforcement Learning. CoRR abs/1812.11103 (2018) - 2017
- [c7]Visak C. V. Kumar, Sehoon Ha, C. Karen Liu:
Learning a unified control policy for safe falling. IROS 2017: 3940-3947 - [c6]Sehoon Ha, Stelian Coros, Alexander Alspach, Joohyung Kim, Katsu Yamane:
Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem. Robotics: Science and Systems 2017 - [i2]Visak C. V. Kumar, Sehoon Ha, C. Karen Liu:
Learning a Unified Control Policy for Safe Falling. CoRR abs/1703.02905 (2017) - [i1]Visak C. V. Kumar, Sehoon Ha, C. Karen Liu:
Expanding Motor Skills through Relay Neural Networks. CoRR abs/1709.07932 (2017) - 2016
- [c5]Sehoon Ha, C. Karen Liu:
Evolutionary optimization for parameterized whole-body dynamic motor skills. ICRA 2016: 1390-1397 - [c4]Sehoon Ha, Stelian Coros, Alexander Alspach, Joohyung Kim, Katsu Yamane:
Task-based limb optimization for legged robots. IROS 2016: 2062-2068 - 2015
- [c3]Sehoon Ha, Katsu Yamane:
Reducing hardware experiments for model learning and policy optimization. ICRA 2015: 2620-2626 - [c2]Sehoon Ha, C. Karen Liu:
Multiple contact planning for minimizing damage of humanoid falls. IROS 2015: 2761-2767 - 2014
- [j3]Sehoon Ha, C. Karen Liu:
Iterative Training of Dynamic Skills Inspired by Human Coaching Techniques. ACM Trans. Graph. 34(1): 1:1-1:11 (2014) - 2013
- [j2]Sehoon Ha, Jim McCann, C. Karen Liu, Jovan Popovic:
Physics Storyboards. Comput. Graph. Forum 32(2): 133-142 (2013) - 2012
- [j1]Sehoon Ha, Yuting Ye, C. Karen Liu:
Falling and landing motion control for character animation. ACM Trans. Graph. 31(6): 155:1-155:9 (2012) - 2011
- [c1]Sehoon Ha, Yunfei Bai, C. Karen Liu:
Human Motion Reconstruction from Force Sensors. Symposium on Computer Animation 2011: 129-138
Coauthor Index
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last updated on 2023-03-12 02:37 CET by the dblp team
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