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Maegan Tucker

Hi, my name is Maegan Tucker. I’m an Assistant Professor at Georgia Tech (started January 2024). My research is centered around achieving stable and user-preferred locomotion using formal methods from both nonlinear control theory and machine learning, with specific applications towards robotic assistive devices. Aside from my research, I am deeply passionate about furthering DEI efforts within the robotics community. If you are interested in discussing either my research, please reach out at mtucker@gatech.edu!

Research Overview

recent publications

  1. Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion
    Maegan Tucker, Kejun Li, and Aaron D Ames
    In In Review 2023
  2. Humanoid Robot Co-Design: Coupling Hardware Design with Gait Generation via Hybrid Zero Dynamics
    Adrian B Ghansah, Jeeseop Kim, Maegan Tucker, and 1 more author
    In 2023 IEEE Conference on Decision and Control (CDC) 2023
  3. Leveraging user preference in the design and evaluation of lower-limb exoskeletons and prostheses
    Kimberly A Ingraham, Maegan Tucker, Aaron D Ames, and 2 more authors
    Current Opinion in Biomedical Engineering 2023
  4. An input-to-state stability perspective on robust locomotion
    Maegan Tucker, and Aaron D Ames
    IEEE Control Systems Letters 2023
  5. Input-to-State Stability in Probability
    Preston Culbertson, Ryan K Cosner, Maegan Tucker, and 1 more author
    In 2023 IEEE Conference on Decision and Control (CDC) 2023