Title :
Large-scale multi-robot mapping in MAGIC 2010
Author :
Reid, Robert ; Bräunl, Thomas
Author_Institution :
Centre for Intell. Inf. Process. Syst., Univ. of Western Australia, Perth, WA, Australia
Abstract :
We describe a large-scale decentralised multi-robot mapping system that outputs globally optimised metric maps in real-time. The mapping system was used by team WAMbot in the finals of the Multi-Autonomous Ground-robotics International Challenge (MAGIC 2010). Research contributions include a novel large-scale multi-robot graph-based non-linear map optimisation approach, a hybrid decentralised and distributed mapping system and novel graphics processing unit (GPU) based approaches for accelerating intensive map matching and fusion operations. Our mapping system scales linearly with map size and on commodity hardware can easily map a 500m×500m urban area. We demonstrate robust, highly efficient and accurate mapping results from two different fleets of mobile robots. Videos, maps and timing results from the MAGIC 2010 challenge are presented.
Keywords :
SLAM (robots); graph theory; mobile robots; multi-robot systems; multivariable systems; optimisation; MAGIC 2010; WAMbot; distributed mapping system; fusion operations; globally optimised metric maps; graphics processing unit; hybrid decentralised system; large-scale decentralised multirobot mapping system; large-scale multirobot graph-based nonlinear map optimisation; large-scale multirobot mapping; map matching; mobile robots; multiautonomous ground-robotics international challenge; Graphics processing unit; Optimization; Real time systems; Robot kinematics; Simultaneous localization and mapping; GPU map correlation; GPU map fusion; Large-scale multi-robot mapping; decentralised; distributed; graph-based SLAM; simultaneous localisation & mapping (SLAM);
Conference_Titel :
Robotics, Automation and Mechatronics (RAM), 2011 IEEE Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-61284-252-3
DOI :
10.1109/RAMECH.2011.6070489