z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom