Redundant robot localization system based in wireless sensor network

Localization and Mapping of autonomous robots in an harsh and unstable environment such as a steep slope vineyard is a challenging research topic. Dead Reckoning systems can fail due to the harsh conditions of the terrain, and the Global Position System can be affected by noise or even be unavailabl...

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Published in2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) pp. 154 - 159
Main Authors Reis, Ricardo, Mendes, Jorge, Neves dos Santos, Filipe, Morais, Raul, Ferraz, Nuno, Santos, Luis, Sousa, Armando
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2018
Subjects
agricultural robotics
Antennas
Bluetooth
precision agriculture
Robot localization
Robot sensing systems
wireless sensor network
Wireless sensor networks
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Summary:Localization and Mapping of autonomous robots in an harsh and unstable environment such as a steep slope vineyard is a challenging research topic. Dead Reckoning systems can fail due to the harsh conditions of the terrain, and the Global Position System can be affected by noise or even be unavailable. Agriculture is moving towards precision agriculture, with advanced monitoring systems and wireless sensor networks. These systems and wireless sensors are installed in the crop field and can be considered relevant landmarks for robot localization. In this paper the distance accuracy provided by bluetooth based sensors is deeply studied and characterized. It is considered a multi antenna receiver bluetooth system and obtained the transfer functions (from Received Signal Strength Indication (RSSI) to distance estimation) for each set of antenna and sensors. The performance of this technology is compared against Time-of-flight based technologies (Pozyx). The obtained results show that the agricultural wireless sensors can be used as redundant artificial landmarks for localization purposes. Besides, the RSSI characterization allowed to improve the previous results of our Beacon Mapping Procedure (BMP) required for accurate and reliable localization systems.
DOI:10.1109/ICARSC.2018.8374176