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ORCIDSehoon Ha
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- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
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2020 – today
- 2025
[j18]Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martín-Martín:
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. ACM Trans. Hum. Robot Interact. 14(2): 34:1-34:65 (2025)- [c49]J. Taery Kim, Morgan Byrd, Jack L. Crandell, Bruce N. Walker, Greg Turk, Sehoon Ha:
Understanding Expectations for a Robotic Guide Dog for Visually Impaired People. HRI 2025: 262-271 - [c48]Seungeun Rho, Laura M. Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha:
Language Guided Skill Discovery. ICLR 2025 - [i59]J. Taery Kim, Morgan Byrd, Jack L. Crandell, Bruce N. Walker, Greg Turk, Sehoon Ha:
Understanding Expectations for a Robotic Guide Dog for Visually Impaired People. CoRR abs/2501.04594 (2025) - [i58]Tianyu Li, Joanne Truong, Jimmy Yang, Alexander Clegg, Akshara Rai, Sehoon Ha, Xavier Puig:
RobotMover: Learning to Move Large Objects by Imitating the Dynamic Chain. CoRR abs/2502.05271 (2025) - [i57]Morgan Byrd, Jack L. Crandell, Mili Das, Jessica Inman, Robert Wright, Sehoon Ha:
PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies. CoRR abs/2502.11377 (2025) - [i56]Yihong Liu, Dongyeop Kang, Sehoon Ha:
Learning a High-quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculum. CoRR abs/2502.12599 (2025) - [i55]Aviv L. Cohav, A. Xinran Gong, J. Taery Kim, Clint Zeagler, Sehoon Ha, Bruce N. Walker:
Do Looks Matter? Exploring Functional and Aesthetic Design Preferences for a Robotic Guide Dog. CoRR abs/2503.16450 (2025) - [i54]Juntao He, Baxi Chong, Massimiliano Iaschi, Vincent R. Nienhusser, Sehoon Ha, Daniel I. Goldman:
Tactile sensing enables vertical obstacle negotiation for elongate many-legged robots. CoRR abs/2504.08615 (2025) - [i53]Hyunyoung Jung, Zhaoyuan Gu, Ye Zhao, Hae-Won Park, Sehoon Ha:
PreCi: Pretraining and Continual Improvement of Humanoid Locomotion via Model-Assumption-Based Regularization. CoRR abs/2504.09833 (2025) - 2024
- [j17]Naoki Yokoyama
, Alexander Clegg, Joanne Truong, Eric Undersander, Tsung-Yen Yang, Sergio Arnaud, Sehoon Ha, Dhruv Batra, Akshara Rai:
ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation. IEEE Robotics Autom. Lett. 9(1): 779-786 (2024) - [c47]Ha Kyung Kong, Derek Xie, Ankith Chandra, Rachel Lowy, Arielle F. Maignan, Sehoon Ha, Chung Hyuk Park, Jennifer G. Kim:
Co-designing Robot Dogs with and for Neurodivergent Individuals: Opportunities and Challenges. ASSETS 2024: 11:1-11:15 - [c46]Tianyu Li, Calvin Qiao, Guanqiao Ren, KangKang Yin, Sehoon Ha:
AAMDM: Accelerated Auto-Regressive Motion Diffusion Model. CVPR 2024: 1813-1823 - [c45]Arielle Maignan, Derek Xie, Sehoon Ha, Jennifer G. Kim, Chung Hyuk Park:
Emotion-Behavior Interplay in Human Animal-Robot Interaction (HARI). HRI (Companion) 2024: 727-731 - [c44]Tianyu Li, Hyunyoung Jung, Matthew C. Gombolay, Yong Kwon Cho, Sehoon Ha:
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning. ICLR 2024 - [c43]Naoki Yokoyama, Sehoon Ha, Dhruv Batra, Jiuguang Wang, Bernadette Bucher:
VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation. ICRA 2024: 42-48 - [c42]Deniz Kerimoglu, Daniel Soto, Malone Lincoln Hemsley, Joseph Brunner, Sehoon Ha, Tingnan Zhang, Daniel I. Goldman:
Learning manipulation of steep granular slopes for fast Mini Rover turning. ICRA 2024: 16985-16990 - [c41]Tianle Huang, Nitish Sontakke, K. Niranjan Kumar, Irfan Essa, Stefanos Nikolaidis, Dennis W. Hong, Sehoon Ha:
BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning. IROS 2024: 670-676 - [c40]Naoki Yokoyama, Ram Ramrakhya, Abhishek Das, Dhruv Batra, Sehoon Ha:
HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation. IROS 2024: 5543-5550 - [c39]J. Taery Kim, Archit Naik, Isuru Jayarathne, Sehoon Ha, Jouh Yeong Chew:
Modeling social interaction dynamics using temporal graph networks. RO-MAN 2024: 2272-2278 - [i52]Tianyu Li, Calvin Qiao, Guanqiao Ren, KangKang Yin, Sehoon Ha:
AAMDM: Accelerated Auto-regressive Motion Diffusion Model. CoRR abs/2401.06146 (2024) - [i51]J. Taery Kim, Archit Naik, Isuru Jayarathne, Sehoon Ha, Jouh Yeong Chew:
Modeling social interaction dynamics using temporal graph networks. CoRR abs/2404.06611 (2024) - [i50]Sehoon Ha, Joonho Lee, Michiel van de Panne, Zhaoming Xie, Wenhao Yu, Majid Khadiv:
Learning-based legged locomotion; state of the art and future perspectives. CoRR abs/2406.01152 (2024) - [i49]Seungeun Rho, Laura M. Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha:
Language Guided Skill Discovery. CoRR abs/2406.06615 (2024) - [i48]Juntao He, Baxi Chong, Zhaochen Xu, Sehoon Ha, Daniel I. Goldman:
Learning to enhance multi-legged robot on rugged landscapes. CoRR abs/2409.09473 (2024) - [i47]Naoki Yokoyama, Ram Ramrakhya, Abhishek Das, Dhruv Batra, Sehoon Ha:
HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation. CoRR abs/2409.14296 (2024) - [i46]Jeonghwan Kim, Yunhai Han, Harish Ravichandar, Sehoon Ha:
Learning Koopman Dynamics for Safe Legged Locomotion with Reinforcement Learning-based Controller. CoRR abs/2409.14736 (2024) - [i45]Fukang Liu, Zhaoyuan Gu, Yilin Cai, Ziyi Zhou, Shijie Zhao, Hyunyoung Jung, Sehoon Ha, Yue Chen, Danfei Xu, Ye Zhao:
Opt2Skill: Imitating Dynamically-feasible Whole-Body Trajectories for Versatile Humanoid Loco-Manipulation. CoRR abs/2409.20514 (2024) - 2023
- [j16]Yunbo Zhang, Alexander Clegg, Sehoon Ha, Greg Turk, Yuting Ye:
Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum. Comput. Graph. Forum 42(2): 25-36 (2023) - [j15]K. Niranjan Kumar, Irfan Essa, Sehoon Ha:
Cascaded Compositional Residual Learning for Complex Interactive Behaviors. IEEE Robotics Autom. Lett. 8(8): 4601-4608 (2023) - [j14]Donghoon Youm, Hyunyoung Jung, Hyeongjun Kim, Jemin Hwangbo, Hae-Won Park, Sehoon Ha:
Imitating and Finetuning Model Predictive Control for Robust and Symmetric Quadrupedal Locomotion. IEEE Robotics Autom. Lett. 8(11): 7799-7806 (2023) - [j13]Tianyu Li, Jungdam Won, Jeongwoo Cho, Sehoon Ha, Akshara Rai:
FastMimic: Model-Based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion. Robotics 12(3): 90 (2023) - [j12]Ung Hee Lee, Varun S. Shetty, Patrick W. Franks, Jie Tan, Georgios Evangelopoulos, Sehoon Ha, Elliott J. Rouse:
User preference optimization for control of ankle exoskeletons using sample efficient active learning. Sci. Robotics 8(83) (2023) - [c38]Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce N. Walker, Jie Tan, Greg Turk, Sehoon Ha:
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. CoRL 2023: 2288-2303 - [c37]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 - [c36]Simar Kareer, Naoki Yokoyama, Dhruv Batra, Sehoon Ha, Joanne Truong:
ViNL: Visual Navigation and Locomotion Over Obstacles. ICRA 2023: 2018-2024 - [c35]Nitish Sontakke, Hosik Chae, Sangjoon Lee, Tianle Huang, Dennis W. Hong, Sehoon Ha:
Residual Physics Learning and System Identification for Sim-to-real Transfer of Policies on Buoyancy Assisted Legged Robots. IROS 2023: 392-399 - [c34]Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari:
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. IROS 2023: 487-494 - [c33]Jeonghwan Kim, Tianyu Li, Sehoon Ha:
ARMP: Autoregressive Motion Planning for Quadruped Locomotion and Navigation in Complex Indoor Environments. IROS 2023: 2731-2737 - [c32]Arnaud Klipfel, Nitish Sontakke, Ren Liu, Sehoon Ha:
Learning a Single Policy for Diverse Behaviors on a Quadrupedal Robot Using Scalable Motion Imitation. IROS 2023: 2768-2775 - [c31]Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Learning and Adapting Agile Locomotion Skills by Transferring Experience. Robotics: Science and Systems 2023 - [c30]Tianyu Li, Jungdam Won, Alexander Clegg, Jeonghwan Kim, Akshara Rai, Sehoon Ha:
ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters. SIGGRAPH Asia 2023: 46:1-46:11 - [i44]Nitish Sontakke, Hosik Chae, Sangjoon Lee, Tianle Huang, Dennis W. Hong, Sehoon Ha:
Residual Physics Learning and System Identification for Sim-to-real Transfer of Policies on Buoyancy Assisted Legged Robots. CoRR abs/2303.09597 (2023) - [i43]Yunbo Zhang, Alexander Clegg, Sehoon Ha, Greg Turk, Yuting Ye:
Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum. CoRR abs/2303.12726 (2023) - [i42]Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari:
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. CoRR abs/2303.13390 (2023) - [i41]Arnaud Klipfel, Nitish Sontakke, Ren Liu, Sehoon Ha:
Learning a Single Policy for Diverse Behaviors on a Quadrupedal Robot using Scalable Motion Imitation. CoRR abs/2303.15331 (2023) - [i40]Jeonghwan Kim, Tianyu Li, Sehoon Ha:
ARMP: Autoregressive Motion Planning for Quadruped Locomotion and Navigation in Complex Indoor Environments. CoRR abs/2303.15900 (2023) - [i39]Naoki Yokoyama, Alexander William Clegg, Eric Undersander, Sehoon Ha, Dhruv Batra, Akshara Rai:
Adaptive Skill Coordination for Robotic Mobile Manipulation. CoRR abs/2304.00410 (2023) - [i38]Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Learning and Adapting Agile Locomotion Skills by Transferring Experience. CoRR abs/2304.09834 (2023) - [i37]Tianyu Li, Jungdam Won, Alexander Clegg, Jeonghwan Kim, Akshara Rai, Sehoon Ha:
ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters. CoRR abs/2305.14792 (2023) - [i36]Joanne Taery Kim, Wenhao Yu, Yash Kothari, Jie Tan, Greg Turk, Sehoon Ha:
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. CoRR abs/2306.14055 (2023) - [i35]Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin:
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR abs/2306.16740 (2023) - [i34]Tianyu Li, Hyunyoung Jung, Matthew C. Gombolay, Yong Kwon Cho, Sehoon Ha:
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning. CoRR abs/2309.17046 (2023) - [i33]Deniz Kerimoglu, Daniel Soto, Malone Lincoln Hemsley, Joseph Brunner, Sehoon Ha, Tingnan Zhang, Daniel I. Goldman:
Learning manipulation of steep granular slopes for fast Mini Rover turning. CoRR abs/2310.01273 (2023) - [i32]K. Niranjan Kumar, Irfan Essa, Sehoon Ha:
Words into Action: Learning Diverse Humanoid Robot Behaviors using Language Guided Iterative Motion Refinement. CoRR abs/2310.06226 (2023) - [i31]Tianle Huang, Nitish Sontakke, K. Niranjan Kumar, Irfan Essa, Stefanos Nikolaidis, Dennis W. Hong, Sehoon Ha:
BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning. CoRR abs/2310.10606 (2023) - [i30]Donghoon Youm, Hyunyoung Jung, Hyeongjun Kim, Jemin Hwangbo, Hae-Won Park, Sehoon Ha:
Imitating and Finetuning Model Predictive Control for Robust and Symmetric Quadrupedal Locomotion. CoRR abs/2311.02304 (2023) - [i29]Naoki Yokoyama, Sehoon Ha, Dhruv Batra, Jiuguang Wang, Bernadette Bucher:
VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation. CoRR abs/2312.03275 (2023) - 2022
- [j11]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) - [j10]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) - [c29]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 - [c28]Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha:
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning. ICRA 2022: 5567-5573 - [c27]K. Niranjan Kumar, Irfan Essa, Sehoon Ha:
Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning. ICRA 2022: 7521-7527 - [c26]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 - [c25]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. IROS 2022: 2454-2461 - [c24]Ren Liu, Nitish Sontakke, Sehoon Ha:
PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion. IROS 2022: 4063-4069 - [c23]Sunwoo Kim, Maks Sorokin, Jehee Lee, Sehoon Ha:
Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning. Robotics: Science and Systems 2022 - [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
- [j9]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
- [j8]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) - [j7]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
- [j6]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) - [j5]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
- [b1]Sehoon Ha:
Developing agile motor skills on virtual and real humanoids. Georgia Institute of Technology, Atlanta, GA, USA, 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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