ROIAL: Region of interest active learning for characterizing exoskeleton gait preference landscapes K Li, M Tucker, E Bıyık, E Novoseller, JW Burdick, Y Sui, D Sadigh, Y Yue, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 | 39 | 2021 |
Safety-aware preference-based learning for safety-critical control R Cosner, M Tucker, A Taylor, K Li, T Molnar, W Ubelacker, A Alan, ... Learning for dynamics and control conference, 1020-1033, 2022 | 29 | 2022 |
The representation of finger movement and force in human motor and premotor cortices RD Flint, MC Tate, K Li, JW Templer, JM Rosenow, C Pandarinath, ... Eneuro 7 (4), 2020 | 25 | 2020 |
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics K Li, M Tucker, R Gehlhar, Y Yue, AD Ames IEEE Robotics and Automation Letters, 2022, 2022 | 11 | 2022 |
Polar: Preference optimization and learning algorithms for robotics M Tucker, K Li, Y Yue, AD Ames arXiv preprint arXiv:2208.04404, 2022 | 8 | 2022 |
Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion M Tucker, K Li, AD Ames ICRA 2024, 2023 | 2 | 2023 |
Dynamic Walking on Highly Underactuated Point Foot Humanoids: Closing the Loop between HZD and HLIP AB Ghansah, J Kim, K Li, AD Ames IROS 2024, 2024 | 1 | 2024 |
Data-Driven Predictive Control for Robust Exoskeleton Locomotion K Li, J Kim, X Xiong, KA Hamed, Y Yue, AD Ames IROS 2024, 2024 | 1 | 2024 |
Preferential Multi-Attribute Bayesian Optimization with Application to Exoskeleton Personalization R Astudillo, K Li, M Tucker, CX Cheng, A Ames, Y Yue ICML 2023 Workshop The Many Facets of Preference-Based Learning, 0 | 1 | |
Preferential Multi-Objective Bayesian Optimization R Astudillo, K Li, M Tucker, CX Cheng, AD Ames, Y Yue arXiv preprint arXiv:2406.14699, 2024 | | 2024 |