| 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 | 35 | 2021 |
| 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 | 23 | 2020 |
| 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 | 21 | 2022 |
| 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 | 10 | 2022 |
| Polar: Preference optimization and learning algorithms for robotics M Tucker, K Li, Y Yue, AD Ames arXiv preprint arXiv:2208.04404, 2022 | 5 | 2022 |
| Data-Driven Predictive Control for Robust Exoskeleton Locomotion K Li, J Kim, X Xiong, KA Hamed, Y Yue, AD Ames arXiv preprint arXiv:2403.15658, 2024 | | 2024 |
| Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion M Tucker, K Li, AD Ames arXiv preprint arXiv:2310.06169, 2023 | | 2023 |
| 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, 2023 | | 2023 |
