Selected Publications

Below are my publications related to human-robot interaction. More specifically, my research is centered around preference-based learning.

Preference-Based Learning for Exoskeleton Gait Optimization

Maegan Tucker*, Ellen Novoseller*, Claudia Kann, Yanan Sui, Yisong Yue, Joel W. Burdick, and Aaron D. Ames (*Equal Contribution)
ICRA 2020 (Best Overall Conference Paper, Best Paper in Human-Robot Interaction)

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ROIAL: Region of interest active learning for characterizing exoskeleton gait preference landscapes

Kejun Li, Maegan Tucker, Erdem Bıyık, Ellen Novoseller, Joel W Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D Ames
ICRA 2021

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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

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Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits

Maegan Tucker, Myra Cheng, Ellen Novoseller, Richard Cheng, Yisong Yue, Joel W Burdick, Aaron D Ames
IROS 2020

Paper Video

Learning Controller Gains on Bipedal Walking Robots via User Preferences

Noel Csomay-Shanklin, Maegan Tucker, Min Dai, Jenna Reher, Aaron D Ames
In Review ICRA 2022

Paper Video

Safety-Aware Preference-Based Learning for Safety-Critical Control

Ryan K Cosner, Maegan Tucker, Andrew Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, and Aaron D Ames
In Review L4DC 2022

Paper Video