Flux-Pinned Dynamics Model Parameterization and Sensitivity Study. - Frances Zhu; Mason Peck; Laura Jones-Wilson (J. Aerosp. Inf. Syst., 2019)

Learned and Controlled Autonomous Robotic Exploration in an Extreme, Unknown Environment. - Frances Zhu; D. Sawyer Elliott; ZhiDi Yang; Haoyuan Zheng (CoRR, 2020)

NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints. - Frances Zhu; Dongheng Jing; Frederick A. Leve; Silvia Ferrari (Frontiers Robotics AI, 2022)

Comparing Active Learning Performance Driven by Gaussian Processes or Bayesian Neural Networks for Constrained Trajectory Exploration. - Sapphira Akins; Frances Zhu (CoRR, 2023)

Comparative Analysis of Uncertainty Quantification Models in Active Learning for Efficient System Identification of Dynamical Systems. - Hans Mertens; Frances Zhu (CASE, 2024)

Jitter Characterization of the HyTI Satellite. - Chase Urasaki; Frances Zhu; Michael Bottom; Miguel Nunes; Aidan Walk (CoRR, 2024)

Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration. - Sapphira Akins; Hans Mertens; Frances Zhu (CoRR, 2024)

Informative Path Planning to Explore and Map Unknown Planetary Surfaces with Gaussian Processes. - Ashten Akemoto; Frances Zhu (CoRR, 2025)