Automatic Generation of Persistent Formations for Multi-agent Networks Under Range Constraints
Author(s) -
Brian S. Smith,
Magnus Egerstedt,
Ayanna Howard
Publication year - 2009
Publication title -
mobile networks and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.445
H-Index - 85
eISSN - 1572-8153
pISSN - 1383-469X
DOI - 10.1007/s11036-009-0153-x
Subject(s) - computer science , pairwise comparison , range (aeronautics) , graph , robot , context (archaeology) , distributed computing , sequence (biology) , theoretical computer science , algorithm , artificial intelligence , paleontology , materials science , genetics , composite material , biology
The original publication is available at www.springerlink.com. Digital Object Identifier: 10.1007/s11036-009-0153-xIn this paper we present a collection of graph-based
methods for determining if a team of mobile robots, subjected
to sensor and communication range constraints, can persistently
achieve a specified formation. What we mean by this is that
the formation, once achieved, will be preserved by the direct
maintenance of the smallest subset of all possible pairwise inter-agent
distances. In this context, formations are defined by sets
of points separated by distances corresponding to desired inter-agent
distances. Further, we provide graph operations to describe
agent interactions that implement a given formation, as well as
an algorithm that, given a persistent formation, automatically
generates a sequence of such operations. Experimental results are
presented that illustrate the operation of the proposed methods
on real robot platforms
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