Large-Scale Structure Assembly by Multiple Robots Which May Be Broken View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2010

AUTHORS

Masayuki Otani , Kiyohiko Hattori , Hiroyuki Sato , Keiki Takadama

ABSTRACT

This paper investigates how to design the limit of failure rate and the adjust number of robots in the distribution control of the multiple robots which may be broken through the simulation of space solar power satellite assembly. For this purpose, we conduct simulations with changing the failure rate of robots that employ our proposed deadlock avoidance method. Intensive simulations have revealed the following implications: (1) from the viewpoint of the completion rate, our deadlock avoidance method enables the robots to complete the assembly in 80completion rate even if the 1/3 robots are broken; (2) from the viewpoint of the recovery rate (i.e., the rate of completing a task when some of robots are broken), the maximum failure rate which enables robots to complete the assembly in 80% is 0.2%, i.e., the 1/3 robots can be broken; and (3) when the failure rate is 0.2%, it is possible to maximize the completion rate from 80% to 90% by adjust the number of the robots. More... »

PAGES

567-576

Book

TITLE

Advances in Neural Network Research and Applications

ISBN

978-3-642-12989-6
978-3-642-12990-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-12990-2_66

DOI

http://dx.doi.org/10.1007/978-3-642-12990-2_66

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027338714


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": "The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu City, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.266298.1", 
          "name": [
            "The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu City, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Otani", 
        "givenName": "Masayuki", 
        "id": "sg:person.015750634121.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015750634121.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu City, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.266298.1", 
          "name": [
            "The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu City, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hattori", 
        "givenName": "Kiyohiko", 
        "id": "sg:person.011636614777.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011636614777.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu City, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.266298.1", 
          "name": [
            "The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu City, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sato", 
        "givenName": "Hiroyuki", 
        "id": "sg:person.07750750604.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07750750604.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu City, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.266298.1", 
          "name": [
            "The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu City, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takadama", 
        "givenName": "Keiki", 
        "id": "sg:person.012774267611.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012774267611.99"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2010", 
    "datePublishedReg": "2010-01-01", 
    "description": "This paper investigates how to design the limit of failure rate and the adjust number of robots in the distribution control of the multiple robots which may be broken through the simulation of space solar power satellite assembly. For this purpose, we conduct simulations with changing the failure rate of robots that employ our proposed deadlock avoidance method. Intensive simulations have revealed the following implications: (1) from the viewpoint of the completion rate, our deadlock avoidance method enables the robots to complete the assembly in 80completion rate even if the 1/3 robots are broken; (2) from the viewpoint of the recovery rate (i.e., the rate of completing a task when some of robots are broken), the maximum failure rate which enables robots to complete the assembly in 80% is 0.2%, i.e., the 1/3 robots can be broken; and (3) when the failure rate is 0.2%, it is possible to maximize the completion rate from 80% to 90% by adjust the number of the robots.", 
    "editor": [
      {
        "familyName": "Zeng", 
        "givenName": "Zhigang", 
        "type": "Person"
      }, 
      {
        "familyName": "Wang", 
        "givenName": "Jun", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-12990-2_66", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-12989-6", 
        "978-3-642-12990-2"
      ], 
      "name": "Advances in Neural Network Research and Applications", 
      "type": "Book"
    }, 
    "keywords": [
      "large-scale structure assembly", 
      "avoidance method", 
      "distribution control", 
      "multiple robots", 
      "deadlock avoidance method", 
      "satellite assembly", 
      "structure assembly", 
      "robot", 
      "maximum failure rate", 
      "simulations", 
      "intensive simulations", 
      "failure rate", 
      "recovery rate", 
      "assembly", 
      "method", 
      "rate", 
      "following implications", 
      "viewpoint", 
      "limit", 
      "control", 
      "number", 
      "purpose", 
      "completion rates", 
      "implications", 
      "paper"
    ], 
    "name": "Large-Scale Structure Assembly by Multiple Robots Which May Be Broken", 
    "pagination": "567-576", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027338714"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-12990-2_66"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-12990-2_66", 
      "https://app.dimensions.ai/details/publication/pub.1027338714"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-05-10T10:39", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/chapter/chapter_165.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-642-12990-2_66"
  }
]
 

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.10.1007/978-3-642-12990-2_66'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-12990-2_66'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-12990-2_66'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-12990-2_66'


 

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

111 TRIPLES      23 PREDICATES      51 URIs      44 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-12990-2_66 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N437bd6d803934f898a9db897a3d929b9
4 schema:datePublished 2010
5 schema:datePublishedReg 2010-01-01
6 schema:description This paper investigates how to design the limit of failure rate and the adjust number of robots in the distribution control of the multiple robots which may be broken through the simulation of space solar power satellite assembly. For this purpose, we conduct simulations with changing the failure rate of robots that employ our proposed deadlock avoidance method. Intensive simulations have revealed the following implications: (1) from the viewpoint of the completion rate, our deadlock avoidance method enables the robots to complete the assembly in 80completion rate even if the 1/3 robots are broken; (2) from the viewpoint of the recovery rate (i.e., the rate of completing a task when some of robots are broken), the maximum failure rate which enables robots to complete the assembly in 80% is 0.2%, i.e., the 1/3 robots can be broken; and (3) when the failure rate is 0.2%, it is possible to maximize the completion rate from 80% to 90% by adjust the number of the robots.
7 schema:editor N3dcc7388ac194584b57f69c58c376a3e
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N39c396a8cb2f4dbaab9fba6202933e61
12 schema:keywords assembly
13 avoidance method
14 completion rates
15 control
16 deadlock avoidance method
17 distribution control
18 failure rate
19 following implications
20 implications
21 intensive simulations
22 large-scale structure assembly
23 limit
24 maximum failure rate
25 method
26 multiple robots
27 number
28 paper
29 purpose
30 rate
31 recovery rate
32 robot
33 satellite assembly
34 simulations
35 structure assembly
36 viewpoint
37 schema:name Large-Scale Structure Assembly by Multiple Robots Which May Be Broken
38 schema:pagination 567-576
39 schema:productId Nb3b9dc86eac74771ab4006503db1543b
40 Nfd656d565d6944d1937c280c2a03ebd6
41 schema:publisher N3635a94f699642cebb1fc745e6cbf513
42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027338714
43 https://doi.org/10.1007/978-3-642-12990-2_66
44 schema:sdDatePublished 2022-05-10T10:39
45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
46 schema:sdPublisher Ne4ded5f639174fa1a8e286c4af2c9327
47 schema:url https://doi.org/10.1007/978-3-642-12990-2_66
48 sgo:license sg:explorer/license/
49 sgo:sdDataset chapters
50 rdf:type schema:Chapter
51 N2b0160b53b4c4213af775350fdb146b1 rdf:first sg:person.011636614777.06
52 rdf:rest Nfd797906934e436f88ae4efc2254442b
53 N3635a94f699642cebb1fc745e6cbf513 schema:name Springer Nature
54 rdf:type schema:Organisation
55 N39c396a8cb2f4dbaab9fba6202933e61 schema:isbn 978-3-642-12989-6
56 978-3-642-12990-2
57 schema:name Advances in Neural Network Research and Applications
58 rdf:type schema:Book
59 N3dcc7388ac194584b57f69c58c376a3e rdf:first N573dcbe8d8744a2589f22dc76cf02dc3
60 rdf:rest N5374b27c1e1a4194ada7636a7e92ff6c
61 N437bd6d803934f898a9db897a3d929b9 rdf:first sg:person.015750634121.41
62 rdf:rest N2b0160b53b4c4213af775350fdb146b1
63 N5374b27c1e1a4194ada7636a7e92ff6c rdf:first Ne9d4a30249c2481da195c298ca698f7c
64 rdf:rest rdf:nil
65 N573dcbe8d8744a2589f22dc76cf02dc3 schema:familyName Zeng
66 schema:givenName Zhigang
67 rdf:type schema:Person
68 Nb3b9dc86eac74771ab4006503db1543b schema:name dimensions_id
69 schema:value pub.1027338714
70 rdf:type schema:PropertyValue
71 Ncca36d65d696492895df46f36ad2d41b rdf:first sg:person.012774267611.99
72 rdf:rest rdf:nil
73 Ne4ded5f639174fa1a8e286c4af2c9327 schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 Ne9d4a30249c2481da195c298ca698f7c schema:familyName Wang
76 schema:givenName Jun
77 rdf:type schema:Person
78 Nfd656d565d6944d1937c280c2a03ebd6 schema:name doi
79 schema:value 10.1007/978-3-642-12990-2_66
80 rdf:type schema:PropertyValue
81 Nfd797906934e436f88ae4efc2254442b rdf:first sg:person.07750750604.05
82 rdf:rest Ncca36d65d696492895df46f36ad2d41b
83 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
84 schema:name Information and Computing Sciences
85 rdf:type schema:DefinedTerm
86 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
87 schema:name Artificial Intelligence and Image Processing
88 rdf:type schema:DefinedTerm
89 sg:person.011636614777.06 schema:affiliation grid-institutes:grid.266298.1
90 schema:familyName Hattori
91 schema:givenName Kiyohiko
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011636614777.06
93 rdf:type schema:Person
94 sg:person.012774267611.99 schema:affiliation grid-institutes:grid.266298.1
95 schema:familyName Takadama
96 schema:givenName Keiki
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012774267611.99
98 rdf:type schema:Person
99 sg:person.015750634121.41 schema:affiliation grid-institutes:grid.266298.1
100 schema:familyName Otani
101 schema:givenName Masayuki
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015750634121.41
103 rdf:type schema:Person
104 sg:person.07750750604.05 schema:affiliation grid-institutes:grid.266298.1
105 schema:familyName Sato
106 schema:givenName Hiroyuki
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07750750604.05
108 rdf:type schema:Person
109 grid-institutes:grid.266298.1 schema:alternateName The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu City, Tokyo, Japan
110 schema:name The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu City, Tokyo, Japan
111 rdf:type schema:Organization
 




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


...