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Large-Scale Networks in Engineering and Life SciencesInteracting with Networks of Mobile Agents

Large-Scale Networks in Engineering and Life Sciences: Interacting with Networks of Mobile Agents [How should human operators interact with teams of mobile agents, whose movements are dictated by decentralized and localized interaction laws? This chapter connects the structure of the underlying information exchange network to how easy or hard it is for human operators to influence the behavior of the team. “Influence” is understood both in terms of controllability, which is a point-to-point property, and manipulability, which is an instantaneous influence notion. These two notions both rely on the assumption that the user can exert control over select leader agents, and we contrast this with another approach whereby the agents are modeled as particles suspended in a fluid, which can be “stirred” by the operator. The theoretical developments are coupled with multirobot experiments and human user-studies to support the practical viability and feasibility of the proposed methods.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Large-Scale Networks in Engineering and Life SciencesInteracting with Networks of Mobile Agents

Part of the Modeling and Simulation in Science, Engineering and Technology Book Series
Editors: Benner, Peter; Findeisen, Rolf; Flockerzi, Dietrich; Reichl, Udo; Sundmacher, Kai
Egerstedt, Magnus; de la Croix, Jean-Pierre; Kawashima, Hiroaki; Kingston, Peter
Large-Scale Networks in Engineering and Life Sciences — Jul 30, 2014
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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2014
ISBN
978-3-319-08436-7
Pages
199 –224
DOI
10.1007/978-3-319-08437-4_3
Publisher site
See Chapter on Publisher Site

Abstract

[How should human operators interact with teams of mobile agents, whose movements are dictated by decentralized and localized interaction laws? This chapter connects the structure of the underlying information exchange network to how easy or hard it is for human operators to influence the behavior of the team. “Influence” is understood both in terms of controllability, which is a point-to-point property, and manipulability, which is an instantaneous influence notion. These two notions both rely on the assumption that the user can exert control over select leader agents, and we contrast this with another approach whereby the agents are modeled as particles suspended in a fluid, which can be “stirred” by the operator. The theoretical developments are coupled with multirobot experiments and human user-studies to support the practical viability and feasibility of the proposed methods.]

Published: Jul 30, 2014

Keywords: Multi-agent robotics; Networked control; Human–robot interactions

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