Embodiment of Honeybee’s Thermotaxis in a Mobile Robot Swarm View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2011

AUTHORS

Daniela Kengyel , Thomas Schmickl , Heiko Hamann , Ronald Thenius , Karl Crailsheim

ABSTRACT

Searching an area of interest based on environmental cues is a challenging benchmark task for an autonomous robot. It gets even harder to achieve if the goal is to aggregate a whole swarm of robots at such a target site after exhaustive exploration of the whole environment. When searching gas leakages or heat sources, swarm robotic approaches have been evaluated in recent years, which were, in part, inspired by biologically motivated control algorithms. Here we present a bio-inspired control program for swarm robots, which collectively explore the environment for a heat source to aggregate. Behaviours of young honeybees were embodied on a robot by adding thermosensors in ‘virtual antennae’. This enables the robot to perform thermotaxis, which was evaluated in a comparative study of an egoistic versus a collective swarm approach. More... »

PAGES

69-76

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-21314-4_9

DOI

http://dx.doi.org/10.1007/978-3-642-21314-4_9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027135489


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Applied Sciences St. Poelten, Computersimulation, Austria", 
          "id": "http://www.grid.ac/institutes/grid.425061.4", 
          "name": [
            "University of Applied Sciences St. Poelten, Computersimulation, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kengyel", 
        "givenName": "Daniela", 
        "id": "sg:person.011314672751.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011314672751.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Universit\u00e4tsplatz 2, A-8010, Graz, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5110.5", 
          "name": [
            "Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Universit\u00e4tsplatz 2, A-8010, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schmickl", 
        "givenName": "Thomas", 
        "id": "sg:person.07417426760.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07417426760.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Universit\u00e4tsplatz 2, A-8010, Graz, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5110.5", 
          "name": [
            "Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Universit\u00e4tsplatz 2, A-8010, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamann", 
        "givenName": "Heiko", 
        "id": "sg:person.01252067245.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252067245.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Universit\u00e4tsplatz 2, A-8010, Graz, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5110.5", 
          "name": [
            "Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Universit\u00e4tsplatz 2, A-8010, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thenius", 
        "givenName": "Ronald", 
        "id": "sg:person.01135755405.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135755405.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Universit\u00e4tsplatz 2, A-8010, Graz, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5110.5", 
          "name": [
            "Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Universit\u00e4tsplatz 2, A-8010, Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Crailsheim", 
        "givenName": "Karl", 
        "id": "sg:person.01366315645.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366315645.25"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2011", 
    "datePublishedReg": "2011-01-01", 
    "description": "Searching an area of interest based on environmental cues is a challenging benchmark task for an autonomous robot. It gets even harder to achieve if the goal is to aggregate a whole swarm of robots at such a target site after exhaustive exploration of the whole environment. When searching gas leakages or heat sources, swarm robotic approaches have been evaluated in recent years, which were, in part, inspired by biologically motivated control algorithms. Here we present a bio-inspired control program for swarm robots, which collectively explore the environment for a heat source to aggregate. Behaviours of young honeybees were embodied on a robot by adding thermosensors in \u2018virtual antennae\u2019. This enables the robot to perform thermotaxis, which was evaluated in a comparative study of an egoistic versus a collective swarm approach.", 
    "editor": [
      {
        "familyName": "Kampis", 
        "givenName": "George", 
        "type": "Person"
      }, 
      {
        "familyName": "Karsai", 
        "givenName": "Istv\u00e1n", 
        "type": "Person"
      }, 
      {
        "familyName": "Szathm\u00e1ry", 
        "givenName": "E\u00f6rs", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-21314-4_9", 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-642-21313-7", 
        "978-3-642-21314-4"
      ], 
      "name": "Advances in Artificial Life. Darwin Meets von Neumann", 
      "type": "Book"
    }, 
    "keywords": [
      "swarm robotics approach", 
      "mobile robot swarms", 
      "robot swarms", 
      "swarm robots", 
      "autonomous robots", 
      "benchmark tasks", 
      "robot", 
      "swarm approach", 
      "whole environment", 
      "exhaustive exploration", 
      "whole swarm", 
      "area of interest", 
      "control algorithm", 
      "virtual antennas", 
      "young honeybees", 
      "swarm", 
      "recent years", 
      "environment", 
      "algorithm", 
      "task", 
      "gas leakage", 
      "robotic approach", 
      "goal", 
      "exploration", 
      "comparative study", 
      "embodiment", 
      "interest", 
      "source", 
      "program", 
      "cues", 
      "control programs", 
      "part", 
      "leakage", 
      "area", 
      "behavior", 
      "heat source", 
      "antenna", 
      "years", 
      "thermotaxis", 
      "study", 
      "honeybees", 
      "sites", 
      "approach", 
      "target site", 
      "environmental cues", 
      "thermosensors"
    ], 
    "name": "Embodiment of Honeybee\u2019s Thermotaxis in a Mobile Robot Swarm", 
    "pagination": "69-76", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027135489"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-21314-4_9"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-21314-4_9", 
      "https://app.dimensions.ai/details/publication/pub.1027135489"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-12-01T06:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/chapter/chapter_75.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-21314-4_9"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-21314-4_9'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-21314-4_9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-21314-4_9'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-21314-4_9'


 

This table displays all metadata directly associated to this object as RDF triples.

146 TRIPLES      22 PREDICATES      71 URIs      64 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-21314-4_9 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N7a39e40e4cb74300ad4d342c450aa12c
4 schema:datePublished 2011
5 schema:datePublishedReg 2011-01-01
6 schema:description Searching an area of interest based on environmental cues is a challenging benchmark task for an autonomous robot. It gets even harder to achieve if the goal is to aggregate a whole swarm of robots at such a target site after exhaustive exploration of the whole environment. When searching gas leakages or heat sources, swarm robotic approaches have been evaluated in recent years, which were, in part, inspired by biologically motivated control algorithms. Here we present a bio-inspired control program for swarm robots, which collectively explore the environment for a heat source to aggregate. Behaviours of young honeybees were embodied on a robot by adding thermosensors in ‘virtual antennae’. This enables the robot to perform thermotaxis, which was evaluated in a comparative study of an egoistic versus a collective swarm approach.
7 schema:editor N7f8142ea22ad4f1dafa924580c969ddc
8 schema:genre chapter
9 schema:isAccessibleForFree true
10 schema:isPartOf Nee8c2cc4237f4094ab5132f12b440e73
11 schema:keywords algorithm
12 antenna
13 approach
14 area
15 area of interest
16 autonomous robots
17 behavior
18 benchmark tasks
19 comparative study
20 control algorithm
21 control programs
22 cues
23 embodiment
24 environment
25 environmental cues
26 exhaustive exploration
27 exploration
28 gas leakage
29 goal
30 heat source
31 honeybees
32 interest
33 leakage
34 mobile robot swarms
35 part
36 program
37 recent years
38 robot
39 robot swarms
40 robotic approach
41 sites
42 source
43 study
44 swarm
45 swarm approach
46 swarm robotics approach
47 swarm robots
48 target site
49 task
50 thermosensors
51 thermotaxis
52 virtual antennas
53 whole environment
54 whole swarm
55 years
56 young honeybees
57 schema:name Embodiment of Honeybee’s Thermotaxis in a Mobile Robot Swarm
58 schema:pagination 69-76
59 schema:productId N1e84c94e1bbd4e7ca392f3d644a91abe
60 N9430bf0beb8c4bb9b6a56ef775516952
61 schema:publisher N8d45b2057cc54bd19cddf5c4b3d3afe4
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027135489
63 https://doi.org/10.1007/978-3-642-21314-4_9
64 schema:sdDatePublished 2022-12-01T06:55
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher N513c030d9a9d4255a7bba9c9d09c1a6f
67 schema:url https://doi.org/10.1007/978-3-642-21314-4_9
68 sgo:license sg:explorer/license/
69 sgo:sdDataset chapters
70 rdf:type schema:Chapter
71 N1e2af80ac8614b49969730a0666fa766 schema:familyName Kampis
72 schema:givenName George
73 rdf:type schema:Person
74 N1e84c94e1bbd4e7ca392f3d644a91abe schema:name dimensions_id
75 schema:value pub.1027135489
76 rdf:type schema:PropertyValue
77 N513c030d9a9d4255a7bba9c9d09c1a6f schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 N63e0db19359d4e6db82a10b7a6a9e891 rdf:first Nff100652b255430fb6a26d82c3979bbe
80 rdf:rest rdf:nil
81 N785e8b3a89be44778c012486cf645257 schema:familyName Karsai
82 schema:givenName István
83 rdf:type schema:Person
84 N7a39e40e4cb74300ad4d342c450aa12c rdf:first sg:person.011314672751.22
85 rdf:rest Nae41b9d48da74e1fa5cdf3b5928fad31
86 N7a4796eed1c04c4ca2c672b4826a7cfa rdf:first sg:person.01135755405.01
87 rdf:rest Na1e89118c8cc4b65ba9af16f59f0ea32
88 N7f8142ea22ad4f1dafa924580c969ddc rdf:first N1e2af80ac8614b49969730a0666fa766
89 rdf:rest Nd52c92b47f8241cf9439ecc8b64a81d1
90 N8d45b2057cc54bd19cddf5c4b3d3afe4 schema:name Springer Nature
91 rdf:type schema:Organisation
92 N9430bf0beb8c4bb9b6a56ef775516952 schema:name doi
93 schema:value 10.1007/978-3-642-21314-4_9
94 rdf:type schema:PropertyValue
95 Na1e89118c8cc4b65ba9af16f59f0ea32 rdf:first sg:person.01366315645.25
96 rdf:rest rdf:nil
97 Na580f19cecd44744bade8c059bda0eab rdf:first sg:person.01252067245.75
98 rdf:rest N7a4796eed1c04c4ca2c672b4826a7cfa
99 Nae41b9d48da74e1fa5cdf3b5928fad31 rdf:first sg:person.07417426760.84
100 rdf:rest Na580f19cecd44744bade8c059bda0eab
101 Nd52c92b47f8241cf9439ecc8b64a81d1 rdf:first N785e8b3a89be44778c012486cf645257
102 rdf:rest N63e0db19359d4e6db82a10b7a6a9e891
103 Nee8c2cc4237f4094ab5132f12b440e73 schema:isbn 978-3-642-21313-7
104 978-3-642-21314-4
105 schema:name Advances in Artificial Life. Darwin Meets von Neumann
106 rdf:type schema:Book
107 Nff100652b255430fb6a26d82c3979bbe schema:familyName Szathmáry
108 schema:givenName Eörs
109 rdf:type schema:Person
110 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
111 schema:name Information and Computing Sciences
112 rdf:type schema:DefinedTerm
113 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
114 schema:name Artificial Intelligence and Image Processing
115 rdf:type schema:DefinedTerm
116 sg:person.011314672751.22 schema:affiliation grid-institutes:grid.425061.4
117 schema:familyName Kengyel
118 schema:givenName Daniela
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011314672751.22
120 rdf:type schema:Person
121 sg:person.01135755405.01 schema:affiliation grid-institutes:grid.5110.5
122 schema:familyName Thenius
123 schema:givenName Ronald
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135755405.01
125 rdf:type schema:Person
126 sg:person.01252067245.75 schema:affiliation grid-institutes:grid.5110.5
127 schema:familyName Hamann
128 schema:givenName Heiko
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252067245.75
130 rdf:type schema:Person
131 sg:person.01366315645.25 schema:affiliation grid-institutes:grid.5110.5
132 schema:familyName Crailsheim
133 schema:givenName Karl
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366315645.25
135 rdf:type schema:Person
136 sg:person.07417426760.84 schema:affiliation grid-institutes:grid.5110.5
137 schema:familyName Schmickl
138 schema:givenName Thomas
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07417426760.84
140 rdf:type schema:Person
141 grid-institutes:grid.425061.4 schema:alternateName University of Applied Sciences St. Poelten, Computersimulation, Austria
142 schema:name University of Applied Sciences St. Poelten, Computersimulation, Austria
143 rdf:type schema:Organization
144 grid-institutes:grid.5110.5 schema:alternateName Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Universitätsplatz 2, A-8010, Graz, Austria
145 schema:name Artificial Life Laboratory of the Department of Zoology, Karl-Franzens University Graz, Universitätsplatz 2, A-8010, Graz, Austria
146 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...