Stabilization of Exoskeletons through Active Ankle Compensation. - Thomas Gurriet; Maegan Tucker; Claudia Kann; Guilhem Boeris; Aaron D. Ames (CoRR, 2019)

Preference-Based Learning for Exoskeleton Gait Optimization. - Maegan Tucker; Ellen R. Novoseller; Claudia Kann; Yanan Sui; Yisong Yue; Joel W. Burdick; Aaron D. Ames (ICRA, 2020)

Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. - Maegan Tucker; Myra Cheng; Ellen R. Novoseller; Richard Cheng; Yisong Yue; Joel W. Burdick; Aaron D. Ames (IROS, 2020)

Towards Variable Assistance for Lower Body Exoskeletons. - Thomas Gurriet; Maegan Tucker; Alexis Duburcq; Guilhem Boeris; Aaron D. Ames (IEEE Robotics Autom. Lett., 2020)

ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. - Kejun Li; Maegan Tucker; Erdem Biyik; Ellen R. Novoseller; Joel W. Burdick; Yanan Sui; Dorsa Sadigh; Yisong Yue; Aaron D. Ames (ICRA, 2021)

Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots. - Maegan Tucker; Noel Csomay-Shanklin; Wen-Loong Ma; Aaron D. Ames (ICRA, 2021)

Learning Controller Gains on Bipedal Walking Robots via User Preferences. - Noel Csomay-Shanklin; Maegan Tucker; Min Dai; Jenna Reher; Aaron D. Ames (ICRA, 2022)

Safety-Aware Preference-Based Learning for Safety-Critical Control. - Ryan K. Cosner; Maegan Tucker; Andrew J. Taylor; Kejun Li; Tamás G. Molnár; Wyatt Ubellacker; Anil Alan; Gábor Orosz; Yisong Yue; Aaron D. Ames (L4DC, 2022)

POLAR: Preference Optimization and Learning Algorithms for Robotics. - Maegan Tucker; Kejun Li; Yisong Yue; Aaron D. Ames (CoRR, 2022)

Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics. - Kejun Li; Maegan Tucker; Rachel Gehlhar; Yisong Yue; Aaron D. Ames (IEEE Robotics Autom. Lett., 2022)

Input-to-State Stability in Probability. - Preston Culbertson; Ryan K. Cosner; Maegan Tucker; Aaron D. Ames (CDC, 2023)

Humanoid Robot Co-Design: Coupling Hardware Design with Gait Generation via Hybrid Zero Dynamics. - Adrian B. Ghansah; Jeeseop Kim; Maegan Tucker; Aaron D. Ames (CDC, 2023)

Robust Bipedal Locomotion: Leveraging Saltation Matrices for Gait Optimization. - Maegan Tucker; Noel Csomay-Shanklin; Aaron D. Ames (ICRA, 2023)

An Input-to-State Stability Perspective on Robust Locomotion. - Maegan Tucker; Aaron D. Ames (IEEE Control. Syst. Lett., 2023)

A review of current state-of-the-art control methods for lower-limb powered prostheses. - Rachel Gehlhar; Maegan Tucker; Aaron J. Young; Aaron D. Ames (Annu. Rev. Control., 2023)

Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion. - Maegan Tucker; Kejun Li; Aaron D. Ames (ICRA, 2024)

Materials Matter: Investigating Functional Advantages of Bio-Inspired Materials via Simulated Robotic Hopping. - Andrew K. Schulz; Ayah G. Ahmad; Maegan Tucker (CoRR, 2024)

Preferential Multi-Objective Bayesian Optimization. - Raul Astudillo; Kejun Li; Maegan Tucker; Chu Xin Cheng; Aaron D. Ames; Yisong Yue (Trans. Mach. Learn. Res., 2025)