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ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes.

, , , , , , , , and . ICRA, page 3212-3218. IEEE, (2021)

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Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion., , and . CoRR, (2023)ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes., , , , , , , , and . CoRR, (2020)Learning Controller Gains on Bipedal Walking Robots via User Preferences., , , , and . CoRR, (2021)Humanoid Robot Co-Design: Coupling Hardware Design with Gait Generation via Hybrid Zero Dynamics., , , and . CDC, page 1879-1885. IEEE, (2023)Towards Variable Assistance for Lower Body Exoskeletons., , , , and . CoRR, (2019)Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics., , , , and . CoRR, (2021)Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots., , , and . ICRA, page 2804-2810. IEEE, (2021)Learning Controller Gains on Bipedal Walking Robots via User Preferences., , , , and . ICRA, page 10405-10411. IEEE, (2022)Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits., , , , , , and . IROS, page 3423-3430. IEEE, (2020)A review of current state-of-the-art control methods for lower-limb powered prostheses., , , and . Annu. Rev. Control., (January 2023)