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Authors:Rasmus Bååth: Lund University Cognitive Science, Lund, Sweden
Birger Johansson: Lund University Cognitive Science, Lund, Sweden
Publication title:Making a Map-making Robot: Using the IKAROS System to Implement the Occupancy Grid Algorithm
Conference:The Swedish AI Society Workshop May 20-21; 2010; Uppsala University
Publication type: Abstract and Fulltext
Issue:048
Article No.:007
Abstract:This paper describes an implementation of the occupancy grid algorithm; one of the most popular algorithms for robotic mapping. The algorithm is implemented on a robot setup at Lund University Cognitive Science (LUCS); and a number of experiments are conducted where the algorithm is exposed to different kinds of noise. The outcome show that the algorithm performs well given its parameters are tuned right. The conclusion is made that; in spite of its limitations; the occupancy grid map algorithm is a robust algorithm that works well in practice.
Language:English
Year:2010
No. of pages:8
Pages:27-34
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/048/007/ecp1048007.pdf
Available:2010-05-19
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
Rasmus Bååth, Birger Johansson (2010). Making a Map-making Robot: Using the IKAROS System to Implement the Occupancy Grid Algorithm, The Swedish AI Society Workshop May 20-21; 2010; Uppsala University http://www.ep.liu.se/ecp_article/index.en.aspx?issue=048;article=007 (accessed 11/1/2014)