Search: id:"swepub:oai:DiVA.org:oru-37870" > Stigmergic algorith...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 02917naa a2200421 4500 | |
001 | oai:DiVA.org:oru-37870 | |
003 | SwePub | |
008 | 141020s2014 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-378702 URI |
024 | 7 | a https://doi.org/10.1007/s11721-014-0096-02 DOI |
040 | a (SwePub)oru | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Khaliq, Ali Abdul,d 1987-u Örebro universitet,Institutionen för naturvetenskap och teknik,AASS4 aut0 (Swepub:oru)akq |
245 | 1 0 | a Stigmergic algorithms for multiple minimalistic robots on an RFID floor |
264 | c 2014-07-25 | |
264 | 1 | b 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 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
650 | 7 | a 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 | |
700 | 1 | a Di Rocco, Maurizio,d 1982-u Örebro universitet,Institutionen för naturvetenskap och teknik,AASS4 aut0 (Swepub:oru)modo |
700 | 1 | a Saffiotti, Alessandro,d 1960-u Örebro universitet,Institutionen för naturvetenskap och teknik,AASS4 aut0 (Swepub:oru)asaffio |
710 | 2 | a Örebro universitetb Institutionen för naturvetenskap och teknik4 org |
773 | 0 | t Swarm Intelligenced : Springer Science and Business Media LLCg 8:3, s. 199-225q 8:3<199-225x 1935-3820x 1935-3812 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-37870 |
856 | 4 8 | u https://doi.org/10.1007/s11721-014-0096-0 |
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.