no code implementations • 19 Sep 2022 • Prithvi Akella, Wyatt Ubellacker, Aaron D. Ames
To develop more useful models, we quantify the inaccuracy with which a given model represents a system of interest, so that we may leverage this quantity to facilitate controller synthesis and verification.
no code implementations • 4 Jan 2022 • Prithvi Akella, Wyatt Ubellacker, Aaron D. Ames
This dual approach has the added benefit of quantifying the Sim2Real Gap between a system simulator and its hardware counterpart.
1 code implementation • 10 Sep 2021 • Yuxiao Chen, Ugo Rosolia, Wyatt Ubellacker, Noel Csomay-Shanklin, Aaron D. Ames
Motion planning for autonomous robots and vehicles in presence of uncontrolled agents remains a challenging problem as the reactive behaviors of the uncontrolled agents must be considered.