Maegan Tucker
収録論文 21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
- Finite-Step Invariant Sets for Hybrid Systems with Probabilistic Guarantees2026/4/1
- Differentiable Invariant Sets for Hybrid Limit Cycles with Application to Legged Robots2026/4/1
- Kinodynamic Motion Retargeting for Humanoid Locomotion via Multi-Contact Whole-Body Trajectory Optimization2026/3/1
- MO-Playground: Massively Parallelized Multi-Objective Reinforcement Learning for Robotics2026/3/1
- NaviGait: Navigating Dynamically Feasible Gait Libraries using Deep Reinforcement Learning2025/10/1
- Materials Matter: Investigating Functional Advantages of Bio-Inspired Materials via Simulated Robotic Hopping2024/9/1
- Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion2023/10/1
- Humanoid Robot Co-Design: Coupling Hardware Design with Gait Generation via Hybrid Zero Dynamics2023/8/1
- Input-to-State Stability in Probability2023/4/1
- An Input-to-State Stability Perspective on Robust Locomotion2023/3/1
- Robust Bipedal Locomotion: Leveraging Saltation Matrices for Gait Optimization2022/9/1
- POLAR: Preference Optimization and Learning Algorithms for Robotics2022/8/1
- Safety-Aware Preference-Based Learning for Safety-Critical Control2021/12/1
- Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics2021/9/1
- Learning Controller Gains on Bipedal Walking Robots via User Preferences2021/2/1
- ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes2020/11/1
- Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots2020/11/1
- Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits2020/3/1
- Preference-Based Learning for Exoskeleton Gait Optimization2019/9/1
- Towards Variable Assistance for Lower Body Exoskeletons2019/9/1
- Stabilization of Exoskeletons through Active Ankle Compensation2019/9/1