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ORCIDMaegan Tucker
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2020 – today
- 2024
[c10]Maegan Tucker, Kejun Li, Aaron D. Ames:
Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion. ICRA 2024: 1136-1142- [i17]Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron D. Ames, Yisong Yue:
Preferential Multi-Objective Bayesian Optimization. CoRR abs/2406.14699 (2024) - [i16]Andrew K. Schulz, Ayah G. Ahmad, Maegan Tucker:
Materials Matter: Investigating Functional Advantages of Bio-Inspired Materials via Simulated Robotic Hopping. CoRR abs/2409.09895 (2024) - 2023
- [j4]Rachel Gehlhar
, Maegan Tucker, Aaron J. Young, Aaron D. Ames:
A review of current state-of-the-art control methods for lower-limb powered prostheses. Annu. Rev. Control. 55: 142-164 (2023) - [j3]Maegan Tucker, Aaron D. Ames:
An Input-to-State Stability Perspective on Robust Locomotion. IEEE Control. Syst. Lett. 7: 2599-2604 (2023) - [c9]Adrian B. Ghansah, Jeeseop Kim, Maegan Tucker, Aaron D. Ames:
Humanoid Robot Co-Design: Coupling Hardware Design with Gait Generation via Hybrid Zero Dynamics. CDC 2023: 1879-1885 - [c8]Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames:
Input-to-State Stability in Probability. CDC 2023: 5796-5803 - [c7]Maegan Tucker, Noel Csomay-Shanklin, Aaron D. Ames:
Robust Bipedal Locomotion: Leveraging Saltation Matrices for Gait Optimization. ICRA 2023: 12218-12225 - [i15]Maegan Tucker, Aaron D. Ames:
An Input-to-State Stability Perspective on Robust Locomotion. CoRR abs/2303.10231 (2023) - [i14]Preston Culbertson, Ryan K. Cosner, Maegan Tucker, Aaron D. Ames:
Input-to-State Stability in Probability. CoRR abs/2304.14578 (2023) - [i13]Adrian B. Ghansah, Jeeseop Kim, Maegan Tucker, Aaron D. Ames:
Humanoid Robot Co-Design: Coupling Hardware Design with Gait Generation via Hybrid Zero Dynamics. CoRR abs/2308.10962 (2023) - [i12]Maegan Tucker, Kejun Li, Aaron D. Ames:
Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion. CoRR abs/2310.06169 (2023) - 2022
- [j2]Kejun Li, Maegan Tucker, Rachel Gehlhar, Yisong Yue, Aaron D. Ames:
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics. IEEE Robotics Autom. Lett. 7(2): 4283-4290 (2022) - [c6]Noel Csomay-Shanklin, Maegan Tucker, Min Dai, Jenna Reher, Aaron D. Ames:
Learning Controller Gains on Bipedal Walking Robots via User Preferences. ICRA 2022: 10405-10411 - [c5]Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames:
Safety-Aware Preference-Based Learning for Safety-Critical Control. L4DC 2022: 1020-1033 - [i11]Maegan Tucker, Kejun Li, Yisong Yue, Aaron D. Ames:
POLAR: Preference Optimization and Learning Algorithms for Robotics. CoRR abs/2208.04404 (2022) - [i10]Maegan Tucker, Noel Csomay-Shanklin, Aaron D. Ames:
Robust Bipedal Locomotion: Leveraging Saltation Matrices for Gait Optimization. CoRR abs/2209.10452 (2022) - 2021
- [c4]Maegan Tucker, Noel Csomay-Shanklin, Wen-Loong Ma, Aaron D. Ames:
Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots. ICRA 2021: 2804-2810 - [c3]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. ICRA 2021: 3212-3218 - [i9]Noel Csomay-Shanklin, Maegan Tucker, Min Dai, Jenna Reher, Aaron D. Ames:
Learning Controller Gains on Bipedal Walking Robots via User Preferences. CoRR abs/2102.13201 (2021) - [i8]Kejun Li, Maegan Tucker, Rachel Gehlhar, Yisong Yue, Aaron D. Ames:
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics. CoRR abs/2109.05113 (2021) - [i7]Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames:
Safety-Aware Preference-Based Learning for Safety-Critical Control. CoRR abs/2112.08516 (2021) - 2020
- [j1]Thomas Gurriet, Maegan Tucker, Alexis Duburcq, Guilhem Boeris, Aaron D. Ames:
Towards Variable Assistance for Lower Body Exoskeletons. IEEE Robotics Autom. Lett. 5(1): 266-273 (2020) - [c2]Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Preference-Based Learning for Exoskeleton Gait Optimization. ICRA 2020: 2351-2357 - [c1]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. IROS 2020: 3423-3430 - [i6]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. CoRR abs/2003.06495 (2020) - [i5]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. CoRR abs/2011.04812 (2020) - [i4]Maegan Tucker, Noel Csomay-Shanklin, Wen-Loong Ma, Aaron D. Ames:
Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots. CoRR abs/2011.05424 (2020)
2010 – 2019
- 2019
- [i3]Thomas Gurriet, Maegan Tucker, Alexis Duburcq, Guilhem Boeris, Aaron D. Ames:
Towards Variable Assistance for Lower Body Exoskeletons. CoRR abs/1909.11188 (2019) - [i2]Thomas Gurriet, Maegan Tucker, Claudia Kann, Guilhem Boeris, Aaron D. Ames:
Stabilization of Exoskeletons through Active Ankle Compensation. CoRR abs/1909.11848 (2019) - [i1]Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel Burdick, Aaron D. Ames:
Preference-Based Learning for Exoskeleton Gait Optimization. CoRR abs/1909.12316 (2019)
Coauthor Index
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