activity
20232026
most citedEfficient and robust Sensor Placement in Complex Environments

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2026

Optimal Transmitter Placement in Realistic Urban Environments

Lukas Taus, Richard Tsai, Jeffrey G. Andrews

In a wireless network, transmitter locations strongly impact achievable rates. Cellular deployment is a difficult non-convex problem, typically addressed using simplified models an…

math.OC2026

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…

cs.RO2024

Fast End-to-End Generation of Belief Space Paths for Minimum Sensing Navigation

Lukas Taus, Vrushabh Zinage, Takashi Tanaka +1

We revisit the problem of motion planning in the Gaussian belief space. Motivated by the fact that most existing sampling-based planners suffer from high computational costs due to…

cs.LG2024★ 1 cited

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…

cs.LG2023★ 1 cited

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…