Robotics: Science and Systems IX
Audio-based Relative Positioning System for Multiple Micro Air Vehicle Systems
Meysam Basiri, Felix Schill, Dario Floreano, Pedro LimaAbstract:
Employing a group of independently controlled flying micro air vehicles (MAVs) for aerial coverage missions, instead of a single flying robot, increases the robustness and efficiency of the missions. Designing a group of MAVs requires addressing new challenges, such as inter-robot collision avoidance and formation control, where individual's knowledge about the relative location of their local group members is essential. A relative positioning system for a MAV needs to satisfy severe constraints in terms of size, weight, processing power, power consumption, three-dimensional coverage and price. In this paper we present an on-board audio based system that is capable of providing individuals with relative positioning information of their neighbouring sound emitting MAVs. We propose a method based on coherence testing among signals of a small onboard microphone array to obtain relative bearing measurements, and a particle filter estimator to fuse these measurements with information about the motion of robots throughout time to obtain the desired relative location estimates. A method based on fractional Fourier transform (FrFT) is used to identify and extract sounds of simultaneous chirping robots in the neighbourhood. Furthermore, we evaluate our proposed method in a real world experiment with three simultaneously flying micro air vehicles.
Bibtex:
@INPROCEEDINGS{Basiri-RSS-13, AUTHOR = {Meysam Basiri AND Felix Schill AND Dario Floreano AND Pedro Lima}, TITLE = {Audio-based Relative Positioning System for Multiple Micro Air Vehicle Systems}, BOOKTITLE = {Proceedings of Robotics: Science and Systems}, YEAR = {2013}, ADDRESS = {Berlin, Germany}, MONTH = {June}, DOI = {10.15607/RSS.2013.IX.002} }