Major Feedback Loops Supporting Artificial Evolution in Multi-modular Robotics View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Thomas Schmickl , Jürgen Stradner , Heiko Hamann , Lutz Winkler , Karl Crailsheim

ABSTRACT

In multi-modular reconfigurable robotics it is extremely challenging to develop control software that is able to generate robust but still flexible behavior of the ‘robotic organism’ that is formed by several independent robotic modules. We propose artificial evolution and self-organization as methodologies to develop such control software. In this article, we present our concept to evolve a self-organized multi-modular robot. We decompose the network of feedbacks, that affect the evolutionary pathway and show why and how specific sub-components, which are involved in these feedbacks, should be subject of evolutionary adaptation. Self-organization is a major component of our framework and is implemented by a hormone-inspired controller governing the behavior of singular autonomous modules. We show first results, which were obtained by artificial evolution with our framework, and give an outlook of how the framework will be applied in future research. More... »

PAGES

195-209

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-18272-3_13

DOI

http://dx.doi.org/10.1007/978-3-642-18272-3_13

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022381507


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": "Artificial Life Lab of the Department of Zoology, Karl-Franzens University Graz, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5110.5", 
          "name": [
            "Artificial Life Lab of the Department of Zoology, Karl-Franzens University 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 Lab of the Department of Zoology, Karl-Franzens University Graz, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5110.5", 
          "name": [
            "Artificial Life Lab of the Department of Zoology, Karl-Franzens University Graz, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stradner", 
        "givenName": "J\u00fcrgen", 
        "id": "sg:person.01070300437.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070300437.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Artificial Life Lab of the Department of Zoology, Karl-Franzens University Graz, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5110.5", 
          "name": [
            "Artificial Life Lab of the Department of Zoology, Karl-Franzens University 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": "Institut f\u00fcr Prozessrechentechnik, Automation und Robotik (IPR), Karlsruher Institut fr Technologie - KIT, Germany", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Institut f\u00fcr Prozessrechentechnik, Automation und Robotik (IPR), Karlsruher Institut fr Technologie - KIT, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Winkler", 
        "givenName": "Lutz", 
        "id": "sg:person.013327465032.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013327465032.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Artificial Life Lab of the Department of Zoology, Karl-Franzens University Graz, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5110.5", 
          "name": [
            "Artificial Life Lab of the Department of Zoology, Karl-Franzens University 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": "In multi-modular reconfigurable robotics it is extremely challenging to develop control software that is able to generate robust but still flexible behavior of the \u2018robotic organism\u2019 that is formed by several independent robotic modules. We propose artificial evolution and self-organization as methodologies to develop such control software. In this article, we present our concept to evolve a self-organized multi-modular robot. We decompose the network of feedbacks, that affect the evolutionary pathway and show why and how specific sub-components, which are involved in these feedbacks, should be subject of evolutionary adaptation. Self-organization is a major component of our framework and is implemented by a hormone-inspired controller governing the behavior of singular autonomous modules. We show first results, which were obtained by artificial evolution with our framework, and give an outlook of how the framework will be applied in future research.", 
    "editor": [
      {
        "familyName": "Doncieux", 
        "givenName": "St\u00e9phane", 
        "type": "Person"
      }, 
      {
        "familyName": "Bred\u00e8che", 
        "givenName": "Nicolas", 
        "type": "Person"
      }, 
      {
        "familyName": "Mouret", 
        "givenName": "Jean-Baptiste", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-18272-3_13", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-18271-6", 
        "978-3-642-18272-3"
      ], 
      "name": "New Horizons in Evolutionary Robotics", 
      "type": "Book"
    }, 
    "keywords": [
      "artificial evolution", 
      "control software", 
      "such control software", 
      "robotic organisms", 
      "reconfigurable robotics", 
      "robotic modules", 
      "autonomous modules", 
      "robotics", 
      "software", 
      "network of feedbacks", 
      "framework", 
      "module", 
      "robot", 
      "network", 
      "feedback", 
      "flexible behavior", 
      "controller", 
      "first results", 
      "methodology", 
      "major feedback loops", 
      "concept", 
      "feedback loop", 
      "future research", 
      "research", 
      "adaptation", 
      "evolution", 
      "behavior", 
      "evolutionary pathways", 
      "evolutionary adaptation", 
      "major component", 
      "components", 
      "results", 
      "article", 
      "loop", 
      "outlook", 
      "organisms", 
      "pathway"
    ], 
    "name": "Major Feedback Loops Supporting Artificial Evolution in Multi-modular Robotics", 
    "pagination": "195-209", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1022381507"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-18272-3_13"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-18272-3_13", 
      "https://app.dimensions.ai/details/publication/pub.1022381507"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-12-01T06:52", 
    "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_381.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-18272-3_13"
  }
]
 

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.10.1007/978-3-642-18272-3_13'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-18272-3_13'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-18272-3_13'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-18272-3_13'


 

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

137 TRIPLES      22 PREDICATES      62 URIs      55 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-18272-3_13 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N125339821bd64991a29dd5158a0a1571
4 schema:datePublished 2011
5 schema:datePublishedReg 2011-01-01
6 schema:description In multi-modular reconfigurable robotics it is extremely challenging to develop control software that is able to generate robust but still flexible behavior of the ‘robotic organism’ that is formed by several independent robotic modules. We propose artificial evolution and self-organization as methodologies to develop such control software. In this article, we present our concept to evolve a self-organized multi-modular robot. We decompose the network of feedbacks, that affect the evolutionary pathway and show why and how specific sub-components, which are involved in these feedbacks, should be subject of evolutionary adaptation. Self-organization is a major component of our framework and is implemented by a hormone-inspired controller governing the behavior of singular autonomous modules. We show first results, which were obtained by artificial evolution with our framework, and give an outlook of how the framework will be applied in future research.
7 schema:editor N67585694b5674fa2a6c2d58c30cec5a0
8 schema:genre chapter
9 schema:isAccessibleForFree false
10 schema:isPartOf N2e7f4941ea694ad9b50184f365decdc9
11 schema:keywords adaptation
12 article
13 artificial evolution
14 autonomous modules
15 behavior
16 components
17 concept
18 control software
19 controller
20 evolution
21 evolutionary adaptation
22 evolutionary pathways
23 feedback
24 feedback loop
25 first results
26 flexible behavior
27 framework
28 future research
29 loop
30 major component
31 major feedback loops
32 methodology
33 module
34 network
35 network of feedbacks
36 organisms
37 outlook
38 pathway
39 reconfigurable robotics
40 research
41 results
42 robot
43 robotic modules
44 robotic organisms
45 robotics
46 software
47 such control software
48 schema:name Major Feedback Loops Supporting Artificial Evolution in Multi-modular Robotics
49 schema:pagination 195-209
50 schema:productId N731ff27c6dcf4096b2e06950a2462d13
51 Nd35de8a06cdc471992b086645284ee10
52 schema:publisher N2a9a576b79af4b81860dc67bf771b5ce
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022381507
54 https://doi.org/10.1007/978-3-642-18272-3_13
55 schema:sdDatePublished 2022-12-01T06:52
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher N93a8b843a7ae4aa3b1625d15ab520789
58 schema:url https://doi.org/10.1007/978-3-642-18272-3_13
59 sgo:license sg:explorer/license/
60 sgo:sdDataset chapters
61 rdf:type schema:Chapter
62 N0d19ddae915c49bb83993d17823ab6e5 rdf:first sg:person.01366315645.25
63 rdf:rest rdf:nil
64 N10cb6d2ce4ef487bb2c89ce3ac64f8fa schema:familyName Mouret
65 schema:givenName Jean-Baptiste
66 rdf:type schema:Person
67 N125339821bd64991a29dd5158a0a1571 rdf:first sg:person.07417426760.84
68 rdf:rest Ne08f3877d1c2465bbea619bd35be664a
69 N2a9a576b79af4b81860dc67bf771b5ce schema:name Springer Nature
70 rdf:type schema:Organisation
71 N2e6681cdd2c541e9ae8d14194d9a7d18 schema:familyName Doncieux
72 schema:givenName Stéphane
73 rdf:type schema:Person
74 N2e7f4941ea694ad9b50184f365decdc9 schema:isbn 978-3-642-18271-6
75 978-3-642-18272-3
76 schema:name New Horizons in Evolutionary Robotics
77 rdf:type schema:Book
78 N67585694b5674fa2a6c2d58c30cec5a0 rdf:first N2e6681cdd2c541e9ae8d14194d9a7d18
79 rdf:rest Nbb558e0d156a486786c043b4df0abbd2
80 N731ff27c6dcf4096b2e06950a2462d13 schema:name doi
81 schema:value 10.1007/978-3-642-18272-3_13
82 rdf:type schema:PropertyValue
83 N865acb53482145c0a4134cb46f639625 schema:familyName Bredèche
84 schema:givenName Nicolas
85 rdf:type schema:Person
86 N93a8b843a7ae4aa3b1625d15ab520789 schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 Nbb558e0d156a486786c043b4df0abbd2 rdf:first N865acb53482145c0a4134cb46f639625
89 rdf:rest Neee8716e1f274b0c8a11431d7c01ca6a
90 Nc20a14f15e1c4766a45cd64522f602b7 rdf:first sg:person.013327465032.41
91 rdf:rest N0d19ddae915c49bb83993d17823ab6e5
92 Nd35de8a06cdc471992b086645284ee10 schema:name dimensions_id
93 schema:value pub.1022381507
94 rdf:type schema:PropertyValue
95 Ne08f3877d1c2465bbea619bd35be664a rdf:first sg:person.01070300437.96
96 rdf:rest Nfa2251b68e0b4445af0fbe2880867fde
97 Neee8716e1f274b0c8a11431d7c01ca6a rdf:first N10cb6d2ce4ef487bb2c89ce3ac64f8fa
98 rdf:rest rdf:nil
99 Nfa2251b68e0b4445af0fbe2880867fde rdf:first sg:person.01252067245.75
100 rdf:rest Nc20a14f15e1c4766a45cd64522f602b7
101 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
102 schema:name Information and Computing Sciences
103 rdf:type schema:DefinedTerm
104 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
105 schema:name Artificial Intelligence and Image Processing
106 rdf:type schema:DefinedTerm
107 sg:person.01070300437.96 schema:affiliation grid-institutes:grid.5110.5
108 schema:familyName Stradner
109 schema:givenName Jürgen
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070300437.96
111 rdf:type schema:Person
112 sg:person.01252067245.75 schema:affiliation grid-institutes:grid.5110.5
113 schema:familyName Hamann
114 schema:givenName Heiko
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252067245.75
116 rdf:type schema:Person
117 sg:person.013327465032.41 schema:affiliation grid-institutes:None
118 schema:familyName Winkler
119 schema:givenName Lutz
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013327465032.41
121 rdf:type schema:Person
122 sg:person.01366315645.25 schema:affiliation grid-institutes:grid.5110.5
123 schema:familyName Crailsheim
124 schema:givenName Karl
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366315645.25
126 rdf:type schema:Person
127 sg:person.07417426760.84 schema:affiliation grid-institutes:grid.5110.5
128 schema:familyName Schmickl
129 schema:givenName Thomas
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07417426760.84
131 rdf:type schema:Person
132 grid-institutes:None schema:alternateName Institut für Prozessrechentechnik, Automation und Robotik (IPR), Karlsruher Institut fr Technologie - KIT, Germany
133 schema:name Institut für Prozessrechentechnik, Automation und Robotik (IPR), Karlsruher Institut fr Technologie - KIT, Germany
134 rdf:type schema:Organization
135 grid-institutes:grid.5110.5 schema:alternateName Artificial Life Lab of the Department of Zoology, Karl-Franzens University Graz, Austria
136 schema:name Artificial Life Lab of the Department of Zoology, Karl-Franzens University Graz, Austria
137 rdf:type schema:Organization
 




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


...