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TROB
2002

Cooperative probabilistic state estimation for vision-based autonomous mobile robots

9 years 10 months ago
Cooperative probabilistic state estimation for vision-based autonomous mobile robots
Abstract--With the services that autonomous robots are to provide becoming more demanding, the states that the robots have to estimate become more complex. In this article, we develop and analyze a probabilistic, vision-based state estimation method for individual, autonomous robots. This method enables a team of mobile robots to estimate their joint positions in a known environment and track the positions of autonomously moving objects. The state estimators of different robots cooperate to increase the accuracy and reliability of the estimation process. This cooperation between the robots enables them to track temporarily occluded objects and to faster recover their position after they have lost track of it. The method is empirically validated based on experiments with a team of physical robots.
Thorsten Schmitt, Robert Hanek, Michael Beetz, Seb
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where TROB
Authors Thorsten Schmitt, Robert Hanek, Michael Beetz, Sebastian Buck, Bernd Radig
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