@inproceedings{c04a1aab03dd4d8f8e841107190b34c3,
title = "Multi-agent planning for persistent missions with automated battery management",
abstract = "This paper introduces and demonstrates a full hardware testbed for research in long-duration missions for multiple, autonomous agents. Specifically, we describe an automated battery management platform designed to service multiple quadrotor agents in the MIT RAVEN and Boeing VSTL flight environments. The changing/charging station allows the quadrotor's spent battery to be quickly swapped for a fresh one without requiring it to power down or wait for recharge - a significant benefit in persistent and/or time-critical missions. We focus on a multi-agent persistent search and track scenario and construct both centralized and decentralized MDP-based mission planners. We further show that for the three agent case, decentralized planners (one for each agent) offer a 99% reduction in computation time and only a relatively small (10%) degradation in overall mission performance when compared to the centralized approach over a long-term simulated mission.",
author = "Redding, {Joshua D.} and Tuna Toksozy and Ure, {N. Kemal} and Alborz Geramifard and How, {Jonathan P.} and Vavrina, {Matthew A.} and John Vian",
year = "2011",
doi = "10.2514/6.2011-6480",
language = "English",
isbn = "9781600869525",
series = "AIAA Guidance, Navigation, and Control Conference 2011",
publisher = "American Institute of Aeronautics and Astronautics Inc.",
booktitle = "AIAA Guidance, Navigation, and Control Conference 2011",
note = "AIAA Guidance, Navigation and Control Conference 2011 ; Conference date: 08-08-2011 Through 11-08-2011",
}