Document Type
Article
Disciplines
Computer Engineering | Robotics
Abstract
The Beowulf cluster approach to parallel computation offers a potentially cheap and robust source of computational power for high complexity algorithms in robotics. The challenge is to integrate this approach with the mobility and time critical response constraints of many robotic algorithms. The key contributions of this paper are: (1) introduction of a computational architecture for integrating a cluster into the control architecture of one or more robots, (2) a cluster implementation of Thrun et al’s Concurrent Localization and Mapping (CML) algorithm, and (3) presentation of results to illustrate the performance of the implemented CML algorithm and validate the architectural approach.
Article Number
1026
Publication Date
6-2007
Recommended Citation
Lyons, Damian M. and Isner, Giselle R., "Evaluation of a Parallel Architecture and Algorithm for Mapping and Localization" (2007). Faculty Publications. 26.
https://research.library.fordham.edu/frcv_facultypubs/26
Comments
7th International Symposium on Computational Intelligence In Robotics and Automation, CIRA 2007, Jacksonville FL June 20-23, 2007
This research was conducted at the Fordham University Robotics and Computer Vision Lab. For more information about graduate programs in Computer Science, see http://www.cis.fordham.edu/graduate.html, and the Fordham University Graduate School of Arts and Sciences, see http://www.fordham.edu/gsas.