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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00002917naa a2200421 4500
001oai:DiVA.org:oru-37870
003SwePub
008141020s2014 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-378702 URI
024a https://doi.org/10.1007/s11721-014-0096-02 DOI
040 a (SwePub)oru
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Khaliq, Ali Abdul,d 1987-u Örebro universitet,Institutionen för naturvetenskap och teknik,AASS4 aut0 (Swepub:oru)akq
2451 0a Stigmergic algorithms for multiple minimalistic robots on an RFID floor
264 c 2014-07-25
264 1b Springer Science and Business Media LLC,c 2014
338 a print2 rdacarrier
520 a Stigmergy is a powerful principle in nature, which has been shown to have interesting applications to robotic systems. By leveraging the ability to store information in the environment, robots with minimal sensing, memory, and computational capabilities can solve complex problems like global path planning. In this paper, we discuss the use of stigmergy in minimalist multi-robot systems, in which robots do not need to use any internal model, long-range sensing, or position awareness. We illustrate our discussion with three case studies: building a globally optimal navigation map, building a gradient map of a sensed feature, and updating the above maps dynamically. All case studies have been implemented in a real environment with multiple ePuck robots, using a floor with 1,500 embedded radio frequency identification tags as the stigmergic medium. Results collected from tens of hours of real experiments and thousands of simulated runs demonstrate the effectiveness of our approach.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
653 a Stigmergy
653 a RFID tags
653 a Multi-robot systems
653 a Minimalistic robots
653 a Robot navigation
653 a Path planning
653 a Robotic olfaction
653 a Datavetenskap
653 a Computer Science
700a Di Rocco, Maurizio,d 1982-u Örebro universitet,Institutionen för naturvetenskap och teknik,AASS4 aut0 (Swepub:oru)modo
700a Saffiotti, Alessandro,d 1960-u Örebro universitet,Institutionen för naturvetenskap och teknik,AASS4 aut0 (Swepub:oru)asaffio
710a Örebro universitetb Institutionen för naturvetenskap och teknik4 org
773t Swarm Intelligenced : Springer Science and Business Media LLCg 8:3, s. 199-225q 8:3<199-225x 1935-3820x 1935-3812
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-37870
8564 8u https://doi.org/10.1007/s11721-014-0096-0

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