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Author:
Sun, Dali (University of Freiburg) (Foundations of Artificial Intelligence)
Kleiner, Alexander (University of Freiburg) (Foundations of Artificial Intelligence)
Wendt, Thomas M. (University of Freiburg) (Department of Microsystems Engineering)
Title:
Multi-Robot Range-Only SLAM by Active Sensor Nodes for Urban Search and Rescue
Publication type:
Conference paper (Refereed)
Language:
English
In:
Robocup 2008: Robot Soccer World Cup XII
Volume:
5399
Pages:
318-330
Year of publ.:
2009
URI:
urn:nbn:se:liu:diva-72540
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72540
Subject category:
Robotics
Abstract(en) :

To jointly map an unknown environment with a team of autonomous robots is a challenging problem, particularly in large environments, as for example the devastated area after a disaster. Under such conditions standard methods for Simultaneous Localization And Mapping (SLAM) are difficult to apply due to possible misinterpretations of sensor data, leading to erroneous data association for loop closure. We consider the problem of multi-robot range-only SLAM for robot teams by solving the data association problem with wireless sensor nodes that we designed for this purpose. The memory of these nodes is utilized for the exchange of map data between multiple robots, facilitating loop-closures on jointly generated maps. We introduce RSLAM, which is a variant of FastSlam, extended for range-only measurements and the multi-robot case. Maps are generated from robot odometry and range estimates, which are computed from the RSSI (Received Signal Strength Indication). The proposed method has been extensively tested in USARSim, which serves as basis for the Virtual Robots competition at RoboCup, and by real-world experiments with a team of mobile robots. The presented results indicates that the approach is capable of building consistent maps in presence of real sensor noise, as well as to improve mapping results of multiple robots by data sharing.

Available from:
2011-11-28
Created:
2011-11-28
Last updated:
2011-11-29
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