DocumentCode
686301
Title
Remote sensing and analysis using autonomous mobile robot with onboard micro-spectrometer
Author
Lee, Min-Fan Ricky ; Chiu, Fu Hsin Steven ; Chen Zhuo
Author_Institution
Grad. Inst. of Autom. & Control, Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear
2013
fDate
6-8 Dec. 2013
Firstpage
195
Lastpage
200
Abstract
There has been an increasing interest in remote sensing and analysis of the environment. The applications include disaster monitoring, exploration, and natural resource protection. However, the human operation is labor intensive, time consuming and hazardous. The sensors fixed on-site in the environment suffer from limited sensing coverage and still requires human´s on-site installation and maintenance. This paper proposed a novel system for the remote sensing and analysis of the environment using a mobile robot with on-board micro-spectrometer. A tracked locomotion is designed to adapt to tough terrains. The FLC (fuzzy logic control) navigate the mobile robot traversing trough the environment and collects the samples. The onboard micro-spectrometer system senses the samples and pattern of the solution spectrum is recognized through the ANN (artificial neural network). The results show the system can effectively and efficiently sample and classify several nominal solutions. The robot successfully transmits the spectrum and analysis to the remote control station through the proposed distributed architecture. The proof-of-concept demonstrates an unmanned operated chemical lab in motion for the remote sensing and analysis of the environment by integrating the micro-spectrometer with the autonomous mobile robot.
Keywords
fuzzy logic; geophysical equipment; geophysical techniques; geophysics computing; mobile robots; neural nets; remote sensing; artificial neural network; autonomous mobile robot; disaster monitoring; environment analysis; fuzzy logic control; human on-site installation; human on-site maintenance; limited sensing coverage; natural resource protection; on-board microspectrometer; remote control station; remote sensing; Artificial neural networks; Educational institutions; Mobile robots; Pattern recognition; Robot sensing systems; Wheels; fuzzy logic; micro-spectrometer; neural network; pattern recognition; remote sensing; tracked robot;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Theory and Its Applications (iFUZZY), 2013 International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/iFuzzy.2013.6825435
Filename
6825435
Link To Document