Ontology type: schema:Chapter
2010
AUTHORSMasayuki Otani , Kiyohiko Hattori , Hiroyuki Sato , Keiki Takadama
ABSTRACTThis 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... »
PAGES567-576
Advances in Neural Network Research and Applications
ISBN
978-3-642-12989-6
978-3-642-12990-2
http://scigraph.springernature.com/pub.10.1007/978-3-642-12990-2_66
DOIhttp://dx.doi.org/10.1007/978-3-642-12990-2_66
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1027338714
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
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