A UAV-enabled Dynamic Multi-Target Tracking and Sensing Framework. - Nathan Patrizi; Georgios Fragkos; Kendric R. Ortiz; Meeko Oishi; Eirini-Eleni Tsiropoulou (GLOBECOM, 2020)

Data-Driven Stochastic Reachability Using Hilbert Space Embeddings. - Adam J. Thorpe; Kendric R. Ortiz; Meeko M. K. Oishi (CoRR, 2020)

SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions. - Adam J. Thorpe; Kendric R. Ortiz; Meeko M. K. Oishi (CDC, 2021)

Learning Approximate Forward Reachable Sets Using Separating Kernels. - Adam J. Thorpe; Kendric R. Ortiz; Meeko M. K. Oishi (L4DC, 2021)

Constrained Run-to-Run Control for Precision Serial Sectioning. - Damian Gallegos-Patterson; Kendric R. Ortiz; Jonathan Madison; Andrew T. Polonsky; Claus Danielson (CCTA, 2022)

State-based confidence bounds for data-driven stochastic reachability using Hilbert space embeddings. - Adam J. Thorpe; Kendric R. Ortiz; Meeko M. K. Oishi (Autom., 2022)

Characterizing Within-Driver Variability in Driving Dynamics During Obstacle Avoidance Maneuvers. - Kendric R. Ortiz; Adam J. Thorpe; AnaMaria Perez; Maya Luster; Brandon J. Pitts; Meeko Oishi (CoRR, 2022)

Online Learning of Dynamical Systems Using Low-Rank Updates to Physics-Informed Kernel Distribution Embeddings. - Kendric R. Ortiz; Rachel DiPirro; Adam J. Thorpe; Meeko Oishi (CDC, 2024)