— Recent advances in self-supervised learning have enabled very long-range visual detection of obstacles and pathways (to 100 hundred meters or more). Unfortunately, the category...
Pierre Sermanet, Raia Hadsell, Marco Scoffier, Urs...
This article describes preliminary work on a research environment called Virtual Synergy to represent a shared virtual map of an area for multiple autonomous robots by modifying t...
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
Abstract: This paper presents a technique for incorporating delayed decision making into stochastic mapping algorithms for concurrent mapping and localization. The approach explici...
A robotic chauffeur should reason about spatial information with a variety of scales, dimensions, and ontologies. Rich representations of both the quantitative and qualitative cha...
Patrick Beeson, Matt MacMahon, Joseph Modayil, Ani...