12 citations · 33 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
Trust-based user-interface design for human-automation systems
Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi +2
We present a method for dynamics-driven, user-interface design for a human-automation system via sensor selection. We define the user-interface to be the output of a MIMO LTI syste…