DocumentCode
1575830
Title
3D robotic mapping: A biologic approach
Author
Silveira, Luan ; Guth, Felipe ; Drews, Paul ; Botelho, Silvia
Author_Institution
Comput. Sci. Center, Fed. Univ. of Rio Grande - FURG, Porto Alegre, Brazil
fYear
2013
Firstpage
1
Lastpage
6
Abstract
Mapping a 3D environment is a big challenge for roboticists, expecially in underwater environments. Nowadays, the most applied solution to this problem relies in Probabilistic Filters, but with the discovery of neurons in the mammalian brain associated with navigation tasks, biological approaches has been take place. This paper presents a system inspired in mammalian brain to solve the problem of mapping and localization of robots. Preliminaries results in simulated environments shows the relevance of the proposed method, which is highly parallelizable and capable of running in real time applications.
Keywords
SLAM (robots); autonomous underwater vehicles; path planning; 3D robotic mapping; SLAM problem; biologic approach; mammalian brain; navigation tasks; neurons discovery; probabilistic filter; robots localization; robots mapping; underwater environments; Feature extraction; Navigation; Neurons; Robot sensing systems; Three-dimensional displays; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Robotics (ICAR), 2013 16th International Conference on
Conference_Location
Montevideo
Type
conf
DOI
10.1109/ICAR.2013.6766531
Filename
6766531
Link To Document