This paper presents our work in solving one of the weakest links in 802.11-based indoor-localization: the training of ground-truth received signal strength data. While crowdsourcin...
Abstract--Mapping and localization for indoor robotic navigation is a well-studied field. However, existing work largely relies on long range perceptive sensors in addition to the ...
Ying Zhang, Juan Liu, Gabriel Hoffmann, Mark Quill...
We study a problem in which a single sensor is scheduled to observe sites periodically, motivated by applications in which the goal is to maintain up-to-date readings for all the o...
Yosef Alayev, Amotz Bar-Noy, Matthew P. Johnson, L...
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
We propose a non-persistent indoor localization system using a self-organizing reference grid of autonomous robot systems. The key idea is to continuously maintain accurate relati...