Integration of algorithms for maps construction and simultaneous localization in a mobile robot

D. Rojas; F. Passold; R. Osorio; C. Cubillos; G. Lefranc

doi:10.3182/20130911-3-BR-3021.00098

Integration of algorithms for maps construction and simultaneous localization in a mobile robot

D. Rojas, F. Passold, R. Osorio, C. Cubillos, G. Lefranc

SCHOOL OF COMPUTER ENGINEERING

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

In this paper it is presented an integration of algorithms that permits maps construction and navigation of mobile robots. Simultaneous Localization and Mapping (SLAM) algorithm is used based on FastSLAM method. Navigation system is based on VHF to avoid obstacle and a spiral way trajectory method. To three different complex simulation maps are used to evaluate the system.

Original language	English
Pages (from-to)	129-134
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	46
Issue number	24 PART 1
DOIs	https://doi.org/10.3182/20130911-3-BR-3021.00098
State	Published - 2013
Event	6th IFAC/ACM Conference on Management and Control of Production and Logistics, MCPL 2013 - Fortaleza, Ceara, Brazil Duration: 11 Sep 2013 → 13 Sep 2013

Keywords

FastSLAM
Mobile Robot
SLAM
Vector Field Histogram (VHF)

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10.3182/20130911-3-BR-3021.00098

Cite this

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abstract = "In this paper it is presented an integration of algorithms that permits maps construction and navigation of mobile robots. Simultaneous Localization and Mapping (SLAM) algorithm is used based on FastSLAM method. Navigation system is based on VHF to avoid obstacle and a spiral way trajectory method. To three different complex simulation maps are used to evaluate the system.",

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AU - Passold, F.

AU - Osorio, R.

AU - Cubillos, C.

AU - Lefranc, G.

PY - 2013

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AB - In this paper it is presented an integration of algorithms that permits maps construction and navigation of mobile robots. Simultaneous Localization and Mapping (SLAM) algorithm is used based on FastSLAM method. Navigation system is based on VHF to avoid obstacle and a spiral way trajectory method. To three different complex simulation maps are used to evaluate the system.

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KW - SLAM

KW - Vector Field Histogram (VHF)

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ER -

Integration of algorithms for maps construction and simultaneous localization in a mobile robot

Abstract

Keywords

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