| 2025 | ICRA | Materials Matter: Investigating Functional Advantages of Bio-Inspired Materials via Simulated Robotic Hopping. | Andrew K. Schulz, Ayah G. Ahmad, Maegan Tucker |
| 2024 | ICRA | Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion. | Maegan Tucker, Kejun Li, Aaron D. Ames |
| 2023 | ICRA | Robust Bipedal Locomotion: Leveraging Saltation Matrices for Gait Optimization. | Maegan Tucker, Noel Csomay-Shanklin, Aaron D. Ames |
| 2022 | ICRA | Learning Controller Gains on Bipedal Walking Robots via User Preferences. | Noel Csomay-Shanklin, Maegan Tucker, Min Dai, Jenna Reher, Aaron D. Ames |
| 2021 | ICRA | 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 |
| 2021 | ICRA | Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots. | Maegan Tucker, Noel Csomay-Shanklin, Wen-Loong Ma, Aaron D. Ames |
| 2020 | IROS | 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 |
| 2020 | ICRA | Preference-Based Learning for Exoskeleton Gait Optimization. | Maegan Tucker, Ellen R. Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel W. Burdick, Aaron D. Ames |