Self-Organizing Spatial Shapes in Mobile Particles: The TOTA Approach
We present a programming approach to let a multitude of simple mobile computational “particles” (i.e. sorts of tiny mobile robots) to self-organize their respective locations to assume a coherent global formation (i.e. shape). The problem has a variety of applications in mobile robotics, modular rob...
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creator | Mamei, Marco Vasirani, Matteo Zambonelli, Franco |
description | We present a programming approach to let a multitude of simple mobile computational “particles” (i.e. sorts of tiny mobile robots) to self-organize their respective locations to assume a coherent global formation (i.e. shape). The problem has a variety of applications in mobile robotics, modular robots, sensor networks, and computational self-assembly. Here we show how the TOTA (“Tuples On The Air”) middleware can be effectively exploited to enable self-organization of spatial shapes in mobile particles with minimal capabilities. The key idea in TOTA is to rely on spatially distributed tuples, spread across the network, to drive particles’ movements and activities. Several experiments are reported showing the effectiveness of the approach. |
doi_str_mv | 10.1007/11494676_9 |
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The problem has a variety of applications in mobile robotics, modular robots, sensor networks, and computational self-assembly. Here we show how the TOTA (“Tuples On The Air”) middleware can be effectively exploited to enable self-organization of spatial shapes in mobile particles with minimal capabilities. The key idea in TOTA is to rely on spatially distributed tuples, spread across the network, to drive particles’ movements and activities. Several experiments are reported showing the effectiveness of the approach.</description><subject>Global Shape</subject><subject>Leader Election</subject><subject>Mobile Particle</subject><subject>Mobile Robot</subject><subject>Sensor Network</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>354026180X</isbn><isbn>9783540261803</isbn><isbn>9783540319016</isbn><isbn>3540319018</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2005</creationdate><recordtype>book_chapter</recordtype><sourceid/><recordid>eNpFkD1PwzAYhM2XRChd-AUeWQLvazt-Y7aoKh9SUZCagS1yUrsNREkUZ-LXNxVI3HLDSae7h7E7hAcEoEdEZZQmXZoztjSUykSBRAOoz1mEGjGWUpkLdnMKhMYUPi9ZBBJEbEjJa7YM4QtmSSSVJhFbb13r43zc2675abo93w52amzLtwc7uMCbjr_3VdM6_mHHqalbF554cXC8yIuMZ8Mw9rY-3LIrb9vgln--YMXzuli9xpv85W2VbeJaCDPFVaW8hVQLkXgi4b0g0rWrUzS1SXfak0sk-vmO1eB3VHkwTlG1c0BOkFyw-9_aMIzzVjeWVd9_hxKhPNEp_-nIIxxqUOA</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Mamei, Marco</creator><creator>Vasirani, Matteo</creator><creator>Zambonelli, Franco</creator><general>Springer Berlin Heidelberg</general><scope/></search><sort><creationdate>2005</creationdate><title>Self-Organizing Spatial Shapes in Mobile Particles: The TOTA Approach</title><author>Mamei, Marco ; Vasirani, Matteo ; Zambonelli, Franco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c229t-bb4fa086225f772ff2776cec819c98d6f7e531f901a60fd7bf09e47bde07e273</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Global Shape</topic><topic>Leader Election</topic><topic>Mobile Particle</topic><topic>Mobile Robot</topic><topic>Sensor Network</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mamei, Marco</creatorcontrib><creatorcontrib>Vasirani, Matteo</creatorcontrib><creatorcontrib>Zambonelli, Franco</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mamei, Marco</au><au>Vasirani, Matteo</au><au>Zambonelli, Franco</au><au>Brueckner, Sven A.</au><au>Di Marzo Serugendo, Giovanna</au><au>Karageorgos, Anthony</au><au>Nagpal, Radhika</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Self-Organizing Spatial Shapes in Mobile Particles: The TOTA Approach</atitle><btitle>Engineering Self-Organising Systems</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2005</date><risdate>2005</risdate><spage>138</spage><epage>153</epage><pages>138-153</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>354026180X</isbn><isbn>9783540261803</isbn><eisbn>9783540319016</eisbn><eisbn>3540319018</eisbn><abstract>We present a programming approach to let a multitude of simple mobile computational “particles” (i.e. sorts of tiny mobile robots) to self-organize their respective locations to assume a coherent global formation (i.e. shape). 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subjects | Global Shape Leader Election Mobile Particle Mobile Robot Sensor Network |
title | Self-Organizing Spatial Shapes in Mobile Particles: The TOTA Approach |
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