5 citations · 5 across the 4 of their papers we have counts for
4 papers
Characterizing Within-Driver Variability in Driving Dynamics During Obstacle Avoidance Maneuvers
Kendric R. Ortiz, Adam J. Thorpe, AnaMaria Perez +3
Variability in human response creates non-trivial challenges for modeling and control of human-automation systems. As autonomy becomes pervasive, methods that can accommodate human…
Learning Approximate Forward Reachable Sets Using Separating Kernels
Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
We present a data-driven method for computing approximate forward reachable sets using separating kernels in a reproducing kernel Hilbert space. We frame the problem as a support e…
SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions
Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
We present algorithms for performing data-driven stochastic reachability as an addition to SReachTools, an open-source stochastic reachability toolbox. Our method leverages a class…
State-Based Confidence Bounds for Data-Driven Stochastic Reachability Using Hilbert Space Embeddings
Adam J. Thorpe, Kendric R. Ortiz, Meeko M. K. Oishi
In this paper, we compute finite sample bounds for data-driven approximations of the solution to stochastic reachability problems. Our approach uses a nonparametric technique known…