1 citations · 1 across the 2 of their papers we have counts for
4 papers
Rendezvous Planning from Sparse Observations of Optimally Controlled Targets
Thomas A. Scott, Lukas Taus, Yen-Hsi Richard Tsai +2
We develop a probabilistic framework for \emph{rendezvous planning}: given sparse, noisy observations of a fast-moving target, plan rendezvous spatiotemporal coordinates for a set…
Optimizing Sensor Network Design for Multiple Coverage
Lukas Taus, Yen-Hsi Richard Tsai
Sensor placement optimization methods have been studied extensively. They can be applied to a wide range of applications, including surveillance of known environments, optimal loca…
Data-induced multiscale losses and efficient multirate gradient descent schemes
Juncai He, Liangchen Liu, Yen-Hsi Richard Tsai
This paper investigates the impact of multiscale data on machine learning algorithms, particularly in the context of deep learning. A dataset is multiscale if its distribution show…
Efficient and robust Sensor Placement in Complex Environments
Lukas Taus, Yen-Hsi Richard Tsai
We address the problem of efficient and unobstructed surveillance or communication in complex environments. On one hand, one wishes to use a minimal number of sensors to cover the…