Sehoon Ha
収録論文 75本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Rapid co-design of Buoyancy-assisted robots for Challenging Locomotion using Gaussian Evolutionary Specialists2026/6/1
- LineRides: Line-Guided Reinforcement Learning for Bicycle Robot Stunts2026/5/1
- BAT: Balancing Agility and Stability via Online Policy Switching for Long-Horizon Whole-Body Humanoid Control2026/4/1
- Flip Stunts on Bicycle Robots using Iterative Motion Imitation2026/3/1
- Partial Motion Imitation for Learning Cart Pushing with Legged Manipulators2026/3/1
- EgoAVFlow: Robot Policy Learning with Active Vision from Human Egocentric Videos via 3D Flow2026/2/1
- AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimation2026/2/1
- RobotDesignGPT: Automated Robot Design Synthesis using Vision Language Models2026/1/1
- Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model-Homotopy-Inspired Transfer2025/12/1
- Switch-JustDance: Benchmarking Whole Body Motion Tracking Controllers Using a Commercial Console Game2025/11/1
- Deep Reinforcement Learning for Multi-Agent Coordination2025/10/1
- EMMA: Scaling Mobile Manipulation via Egocentric Human Data2025/9/1
- A Design Co-Pilot for Task-Tailored Manipulators2025/9/1
- FiLM-Nav: Efficient and Generalizable Navigation via VLM Fine-tuning2025/9/1
- MoReFlow: Motion Retargeting Learning through Unsupervised Flow Matching2025/9/1
- Switch4EAI: Leveraging Console Game Platform for Benchmarking Robotic Athletics2025/8/1
- Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion2025/8/1
- Learning Physical Interaction Skills from Human Demonstrations2025/7/1
- Tactile sensing enables vertical obstacle negotiation for elongate many-legged robots2025/4/1
- PPF: Pre-training and Preservative Fine-tuning of Humanoid Locomotion via Model-Assumption-based Regularization2025/4/1
- Do Looks Matter? Exploring Functional and Aesthetic Design Preferences for a Robotic Guide Dog2025/3/1
- Learning a High-quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculum2025/2/1
- RobotMover: Learning to Move Large Objects From Human Demonstrations2025/2/1
- PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies2025/2/1
- Understanding Expectations for a Robotic Guide Dog for Visually Impaired People2025/1/1
- Learning to enhance multi-legged robot on rugged landscapes2024/9/1
- Safe Navigation of Bipedal Robots via Koopman Operator-Based Model Predictive Control2024/9/1
- Opt2Skill: Imitating Dynamically-feasible Whole-Body Trajectories for Versatile Humanoid Loco-Manipulation2024/9/1
- HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation2024/9/1
- Learning-based legged locomotion; state of the art and future perspectives2024/6/1
- Language Guided Skill Discovery2024/6/1
- VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation2023/12/1
- Imitating and Finetuning Model Predictive Control for Robust and Symmetric Quadrupedal Locomotion2023/11/1
- Learning manipulation of steep granular slopes for fast Mini Rover turning2023/10/1
- Words into Action: Learning Diverse Humanoid Robot Behaviors using Language Guided Iterative Motion Refinement2023/10/1
- BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning2023/10/1
- CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning2023/9/1
- Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism2023/6/1
- Principles and Guidelines for Evaluating Social Robot Navigation Algorithms2023/6/1
- ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters2023/5/1
- Learning and Adapting Agile Locomotion Skills by Transferring Experience2023/4/1
- ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation2023/4/1
- Learning a Single Policy for Diverse Behaviors on a Quadrupedal Robot using Scalable Motion Imitation2023/3/1
- ARMP: Autoregressive Motion Planning for Quadruped Locomotion and Navigation in Complex Indoor Environments2023/3/1
- On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning2023/3/1
- Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum2023/3/1
- Residual Physics Learning and System Identification for Sim-to-real Transfer of Policies on Buoyancy Assisted Legged Robots2023/3/1
- Cascaded Compositional Residual Learning for Complex Interactive Behaviors2022/12/1
- ViNL: Visual Navigation and Locomotion Over Obstacles2022/10/1
- Human Motion Control of Quadrupedal Robots using Deep Reinforcement Learning2022/4/1
- Safe Reinforcement Learning for Legged Locomotion2022/3/1
- Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World2021/10/1
- FastMimic: Model-based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion2021/9/1
- PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion2021/9/1
- Benchmarking Augmentation Methods for Learning Robust Navigation Agents: the Winning Entry of the 2021 iGibson Challenge2021/9/1
- Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning2021/9/1
- Learning Robot Structure and Motion Embeddings using Graph Neural Networks2021/9/1
- Learning to Navigate Sidewalks in Outdoor Environments2021/9/1
- Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning2021/9/1
- Graph-based Cluttered Scene Generation and Interactive Exploration using Deep Reinforcement Learning2021/9/1
- Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation2021/3/1
- Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments2021/3/1
- Learning Human Search Behavior from Egocentric Visual Inputs2020/11/1
- Observation Space Matters: Benchmark and Optimization Algorithm2020/11/1
- A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning2020/11/1
- Learning to be Safe: Deep RL with a Safety Critic2020/10/1
- Learning to Walk in the Real World with Minimal Human Effort2020/2/1
- Learning a Control Policy for Fall Prevention on an Assistive Walking Device2019/9/1
- Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation2019/9/1
- Learning Fast Adaptation with Meta Strategy Optimization2019/9/1
- Estimating Mass Distribution of Articulated Objects using Non-prehensile Manipulation2019/7/1
- Learning to Walk via Deep Reinforcement Learning2018/12/1
- Soft Actor-Critic Algorithms and Applications2018/12/1
- Expanding Motor Skills through Relay Neural Networks2017/9/1
- Learning a Unified Control Policy for Safe Falling2017/3/1