5th International ICST Workshop on Tools for solving Structured Markov Chains

Research Article

Collaborative Estimation of Gradient Direction by a Formation of AUVs

  • @INPROCEEDINGS{10.4108/icst.valuetools.2011.245810,
        author={Lara Bri\`{o}on Arranz and Alexandre Seuret and Alain Sarlette and Carlos Canudas de Wit},
        title={Collaborative Estimation of Gradient Direction by a Formation of AUVs},
        proceedings={5th International ICST Workshop on Tools for solving Structured Markov Chains},
        publisher={ACM},
        proceedings_a={SMCTOOLS},
        year={2012},
        month={6},
        keywords={Multi-agent systems collaborative control gradient estimation.},
        doi={10.4108/icst.valuetools.2011.245810}
    }
    
  • Lara Briñon Arranz
    Alexandre Seuret
    Alain Sarlette
    Carlos Canudas de Wit
    Year: 2012
    Collaborative Estimation of Gradient Direction by a Formation of AUVs
    SMCTOOLS
    ICST
    DOI: 10.4108/icst.valuetools.2011.245810
Lara Briñon Arranz1, Alexandre Seuret2,*, Alain Sarlette3, Carlos Canudas de Wit2
  • 1: INRIA
  • 2: CNRS / GIPSA-Lab
  • 3: Institute Montefiore, Université de Liège
*Contact email: alexandre.seuret@gipsa-lab.grenoble-inp.fr

Abstract

This work deals with the source-seeking problem in which the task is to locate the source of some signal using a fleet of AUVs (autonomous underwater vehicles). The present paper proposes a distributed solution in which a group of vehicles uniformly distributed in a fixed circular formation, estimates the gradient direction of the signal propagation. The distributed algorithm takes into account the communication constraints and depends on direct signal measurements. Our approach is based on the previous results in formation control to stabilize the fleet in a circular formation with time-varying center and in a collaborative source-seeking algorithm. The results are supported through computer simulations.