Synchronous Rendezvous for Networks of Marine Robots in Large Scale Ocean Monitoring

Xi Yu; M Ani Hsieh; Cong Wei; Hebert G Tanner

doi:10.3389/frobt.2019.00076

Synchronous Rendezvous for Networks of Marine Robots in Large Scale Ocean Monitoring

Front Robot AI. 2019 Sep 4:6:76. doi: 10.3389/frobt.2019.00076. eCollection 2019.

Authors

Xi Yu¹, M Ani Hsieh¹, Cong Wei², Hebert G Tanner^{1

2}

Affiliations

¹ ScalAR Lab, GRASP Lab, Department of Mechanical Engineering and Applied Mechanics, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States.
² Department of Mechanical Engineering, University of Delaware, Newark, DE, United States.

Abstract

We develop a synchronous rendezvous strategy for a network of minimally actuated mobile sensors or active drifters to monitor a set of Lagrangian Coherent Structure (LCS) bounded regions, each exhibiting gyre-like flows. This paper examines the conditions under which a pair of neighboring agents achieves synchronous rendezvous relying solely on the inherent flow dynamics within each LCS bounded region. The objective is to enable drifters in adjacent LCS bounded regions to rendezvous in a periodic fashion to exchange and fuse sensor data. We propose an agent-level control strategy to regulate the drifter speed in each monitoring region as well as to maximize the time the drifters are connected and able to communicate at every rendezvous. The strategy utilizes minimal actuation to ensure synchronization between neighboring pairs of drifters to ensure periodic rendezvous. The intermittent synchronization policy enables a locally connected network of minimally actuated mobile sensors to converge to a common orbit frequency. Robustness analysis against possible disturbance in practice and simulations are provided to illustrate the results.

Keywords: consensus; mobile sensor networks; multi-agent systems; optimal control; synchronous rendezvous.