| 2026 | CHI | MotionSmith: A Sketch-Based Design System for Automata Making. | DoangJoo Synn, Zhifan Guo, Sehoon Ha, HyunJoo Oh |
| 2026 | HRI | Designing a Robotic Guide Dog for Trustworthy Human-Robot Coexistence. | Joanne Taery Kim, Sehoon Ha |
| 2025 | HRI | Understanding Expectations for a Robotic Guide Dog for Visually Impaired People. | Joanne Taery Kim, Morgan Byrd, Jack L. Crandell, Bruce N. Walker, Greg Turk, Sehoon Ha |
| 2025 | ICLR | Language Guided Skill Discovery. | Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha |
| 2025 | ICMI | TGN-PL: Learning to Socialize Using Privileged Information and Temporal Graph Networks. | Jouh Yeong Chew, Joanne Taery Kim, Sehoon Ha |
| 2025 | ICRA | Privileged-Dreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies. | Morgan Byrd, Jack L. Crandell, Mili Das, Jessica Inman, Robert Wright, Sehoon Ha |
| 2025 | ICRA | Do Looks Matter? Exploring Functional and Aesthetic Design Preferences for a Robotic Guide Dog. | Aviv L. Cohav, A. Xinran Gong, Joanne Taery Kim, Clint Zeagler, Sehoon Ha, Bruce N. Walker |
| 2025 | ICRA | Learning a High-Quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculum. | Yihong Liu, Dongyeop Kang, Sehoon Ha |
| 2024 | ASSETS | Co-designing Robot Dogs with and for Neurodivergent Individuals: Opportunities and Challenges. | Ha Kyung Kong, Derek Xie, Ankith Chandra, Rachel Lowy, Arielle F. Maignan, Sehoon Ha, Chung Hyuk Park, Jennifer G. Kim |
| 2024 | CVPR | AAMDM: Accelerated Auto-Regressive Motion Diffusion Model. | Tianyu Li, Calvin Z. Qiao, Guanqiao Ren, KangKang Yin, Sehoon Ha |
| 2024 | HRI | Emotion-Behavior Interplay in Human Animal-Robot Interaction (HARI). | Arielle Maignan, Derek Xie, Sehoon Ha, Jennifer G. Kim, Chung Hyuk Park |
| 2024 | ICLR | CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning. | Tianyu Li, Hyunyoung Jung, Matthew C. Gombolay, Yong Kwon Cho, Sehoon Ha |
| 2024 | ICRA | Learning manipulation of steep granular slopes for fast Mini Rover turning. | Deniz Kerimoglu, Daniel Soto, Malone Lincoln Hemsley, Joseph Brunner, Sehoon Ha, Tingnan Zhang, Daniel I. Goldman |
| 2024 | IROS | BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning. | Tianle Huang, Nitish Sontakke, K. Niranjan Kumar, Irfan Essa, Stefanos Nikolaidis, Dennis W. Hong, Sehoon Ha |
| 2024 | IROS | HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation. | Naoki Yokoyama, Ram Ramrakhya, Abhishek Das, Dhruv Batra, Sehoon Ha |
| 2024 | ICRA | VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation. | Naoki Yokoyama, Sehoon Ha, Dhruv Batra, Jiuguang Wang, Bernadette Bucher |
| 2024 | RO-MAN | Modeling social interaction dynamics using temporal graph networks. | Joanne Taery Kim, Archit Naik, Isuru Jayarathne, Sehoon Ha, Jouh Yeong Chew |
| 2023 | CoRL | Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. | Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce N. Walker, Jie Tan, Greg Turk, Sehoon Ha |
| 2023 | HRI | How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. | Joanne Taery Kim, Wenhao Yu, Jie Tan, Greg Turk, Sehoon Ha |
| 2023 | ICRA | ViNL: Visual Navigation and Locomotion Over Obstacles. | Simar Kareer, Naoki Yokoyama, Dhruv Batra, Sehoon Ha, Joanne Truong |
| 2023 | IROS | ARMP: Autoregressive Motion Planning for Quadruped Locomotion and Navigation in Complex Indoor Environments. | Jeonghwan Kim, Tianyu Li, Sehoon Ha |
| 2023 | IROS | Learning a Single Policy for Diverse Behaviors on a Quadrupedal Robot Using Scalable Motion Imitation. | Arnaud Klipfel, Nitish Sontakke, Ren Liu, Sehoon Ha |
| 2023 | IROS | Residual Physics Learning and System Identification for Sim-to-real Transfer of Policies on Buoyancy Assisted Legged Robots. | Nitish Sontakke, Hosik Chae, Sangjoon Lee, Tianle Huang, Dennis W. Hong, Sehoon Ha |
| 2023 | IROS | On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. | Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari |
| 2023 | SiggraphA | ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters. | Tianyu Li, Jungdam Won, Alexander Clegg, Jeonghwan Kim, Akshara Rai, Sehoon Ha |
| 2022 | ICRA | Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning. | Hao-Lun Hsu, Qiuhua Huang, Sehoon Ha |
| 2022 | ICRA | Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning. | K. Niranjan Kumar, Irfan Essa, Sehoon Ha |
| 2022 | IROS | PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion. | Ren Liu, Nitish Sontakke, Sehoon Ha |
| 2022 | IROS | Safe Reinforcement Learning for Legged Locomotion. | Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu |
| 2022 | IROS | Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge. | Naoki Yokoyama, Qian Luo, Dhruv Batra, Sehoon Ha |
| 2022 | ICRA | Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. | Laura Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine |
| 2022 | SiggraphA | HumanConQuad: Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning. | Sunwoo Kim, Maks Sorokin, Jehee Lee, Sehoon Ha |
| 2021 | CoRL | Visual-Locomotion: Learning to Walk on Complex Terrains with Vision. | Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang |
| 2021 | ICML | PODS: Policy Optimization via Differentiable Simulation. | Miguel Zamora, Momchil Peychev, Sehoon Ha, Martin T. Vechev, Stelian Coros |
| 2021 | ICRA | Observation Space Matters: Benchmark and Optimization Algorithm. | Joanne Taery Kim, Sehoon Ha |
| 2021 | ICRA | A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning. | Qian Luo, Maks Sorokin, Sehoon Ha |
| 2021 | IROS | Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation. | Naoki Yokoyama, Sehoon Ha, Dhruv Batra |
| 2020 | CoRL | Learning to Walk in the Real World with Minimal Human Effort. | Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan |
| 2020 | ICRA | Learning a Control Policy for Fall Prevention on an Assistive Walking Device. | Visak C. V. Kumar, Sehoon Ha, Gregory S. Sawicki, C. Karen Liu |
| 2020 | ICRA | Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. | Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha |
| 2018 | CoRL | Expanding Motor Skills using Relay Networks. | Visak C. V. Kumar, Sehoon Ha, C. Karen Liu |
| 2018 | ICRA | Improving Model-Based Balance Controllers Using Reinforcement Learning and Adaptive Sampling. | Visak C. V. Kumar, Sehoon Ha, Katsu Yamane |
| 2018 | IROS | Learning Hardware Dynamics Model from Experiments for Locomotion Optimization. | Kuo Chen, Sehoon Ha, Katsu Yamane |
| 2017 | IROS | Learning a unified control policy for safe falling. | Visak C. V. Kumar, Sehoon Ha, C. Karen Liu |
| 2016 | ICRA | Evolutionary optimization for parameterized whole-body dynamic motor skills. | Sehoon Ha, C. Karen Liu |
| 2016 | IROS | Task-based limb optimization for legged robots. | Sehoon Ha, Stelian Coros, Alexander Alspach, Joohyung Kim, Katsu Yamane |
| 2015 | ICRA | Reducing hardware experiments for model learning and policy optimization. | Sehoon Ha, Katsu Yamane |
| 2015 | IROS | Multiple contact planning for minimizing damage of humanoid falls. | Sehoon Ha, C. Karen Liu |
| 2011 | SCA | Human Motion Reconstruction from Force Sensors. | Sehoon Ha, Yunfei Bai, C. Karen Liu |