Underwater Robotic: localization with electrolocation for collision avoidance
Abstract
This paper proposes and compares two observers designed to calculate the location of an obstacle. The two methods are bio-inspired with a sense used by electric fishes of equatorial forests: the electrolocation. Firstly, this study presents the electrolocation and then develops two models of emitter-sensors inspired by the electrical sense. Secondly, the two models are used in different observers for detection and localisation of wall obstacles. The estimation methods are based on an Extended Kalman Filter algorithm. Observers are tested on simulations in order to assess their potentials and to analyze observability.
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