Design of a Bio-Inspired Autonomous Underwater Robot View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-08

AUTHORS

Daniele Costa, Giacomo Palmieri, Matteo-Claudio Palpacelli, Luca Panebianco, David Scaradozzi

ABSTRACT

The following paper presents the design and fabrication of an ostraciiform swimming robot and its navigation control and guidance system. Compared to other biomimetic vehicles, the chosen architecture has a lower propulsive efficiency but is easier to waterproof and capable to withstand greater pressures. To generate the alternating motion of the robot bio-inspired thruster, namely a plane fin, a transmission system was designed to replace the direct drive widely adopted in underwater biomimetic vehicles. The mechanical efficiency of two alternative mechanisms capable to actuate the fin were computed according to a preliminary sizing of the robot and its targeted swimming performances. Therefore, the more suitable solution was manufactured and installed aboard. At the same time, a proper navigation, guidance and control architecture (NGC) was designed and then integrated in the robot main controller. The proposed solution allows the vehicle to perform different missions autonomously once their profiles are received from the base station. Preliminary tests results and future works are discussed in the final conclusions. More... »

PAGES

181-192

References to SciGraph publications

  • 1995-03. An Efficient Swimming Machine in SCIENTIFIC AMERICAN
  • 2009. Multi-Agent System Theory for Modelling a Home Automation System in BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE
  • 2010-03. Biological inspiration: From carangiform fish to multi-joint robotic fish in JOURNAL OF BIONIC ENGINEERING
  • 2009-12. Swimming performance of a biomimetic compliant fish-like robot in EXPERIMENTS IN FLUIDS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10846-017-0678-3

    DOI

    http://dx.doi.org/10.1007/s10846-017-0678-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1091918108


    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/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Marche Polytechnic University", 
              "id": "https://www.grid.ac/institutes/grid.7010.6", 
              "name": [
                "Department of Industrial Engineering & Mathematical Sciences (DIISM), Polytechnic University of Marche, Ancona, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Costa", 
            "givenName": "Daniele", 
            "id": "sg:person.016474226175.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016474226175.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Marche Polytechnic University", 
              "id": "https://www.grid.ac/institutes/grid.7010.6", 
              "name": [
                "Department of Industrial Engineering & Mathematical Sciences (DIISM), Polytechnic University of Marche, Ancona, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Palmieri", 
            "givenName": "Giacomo", 
            "id": "sg:person.014411307426.90", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014411307426.90"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Marche Polytechnic University", 
              "id": "https://www.grid.ac/institutes/grid.7010.6", 
              "name": [
                "Department of Industrial Engineering & Mathematical Sciences (DIISM), Polytechnic University of Marche, Ancona, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Palpacelli", 
            "givenName": "Matteo-Claudio", 
            "id": "sg:person.011571025307.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011571025307.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Marche Polytechnic University", 
              "id": "https://www.grid.ac/institutes/grid.7010.6", 
              "name": [
                "Department of Information Engineering (DII), Polytechnic University of Marche, Ancona, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Panebianco", 
            "givenName": "Luca", 
            "id": "sg:person.014605461346.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014605461346.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Laboratoire des Sciences de l'Information et des Syst\u00e8mes", 
              "id": "https://www.grid.ac/institutes/grid.462878.7", 
              "name": [
                "Department of Information Engineering (DII), Polytechnic University of Marche, Ancona, Italy", 
                "Laboratoire des Sciences de l\u2019Information et des Syst\u00e8mes Equipe I&M (ESIL) \u2013 CNRS, Marseille, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Scaradozzi", 
            "givenName": "David", 
            "id": "sg:person.011022176746.05", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011022176746.05"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1093/icb/42.1.118", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006316285"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3723/ut.28.175", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012712260"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/1748-3182/7/2/025001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015625655"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jfluidstructs.2012.02.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016219310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ifacol.2015.06.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021046427"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00348-009-0684-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033794831", 
              "https://doi.org/10.1007/s00348-009-0684-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00348-009-0684-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033794831", 
              "https://doi.org/10.1007/s00348-009-0684-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00348-009-0684-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033794831", 
              "https://doi.org/10.1007/s00348-009-0684-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/s1672-6529(09)60184-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036071499", 
              "https://doi.org/10.1016/s1672-6529(09)60184-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/s1672-6529(09)60184-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036071499", 
              "https://doi.org/10.1016/s1672-6529(09)60184-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5772/6716", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036988609"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.sna.2008.02.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038291533"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/mra.2014.2322287", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039566936"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rspb.1971.0085", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039837068"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.robot.2015.11.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040046962"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.oceaneng.2016.11.055", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051085376"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-02478-8_74", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051417774", 
              "https://doi.org/10.1007/978-3-642-02478-8_74"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-02478-8_74", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051417774", 
              "https://doi.org/10.1007/978-3-642-02478-8_74"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0022112060001110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053805275"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0022112097008392", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053976176"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/s0025315400026114", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054808793"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/scientificamerican0395-64", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056512586", 
              "https://doi.org/10.1038/scientificamerican0395-64"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/48.757275", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061176243"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tro.2008.915446", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061784939"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/mesa.2016.7587116", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093290619"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/memsys.1994.555769", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094044650"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/oceans-genova.2015.7271543", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094097686"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/robot.2005.1570620", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095176102"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/med.2012.6265830", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095369703"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/oceans.2016.7761127", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095677519"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-08", 
        "datePublishedReg": "2018-08-01", 
        "description": "The following paper presents the design and fabrication of an ostraciiform swimming robot and its navigation control and guidance system. Compared to other biomimetic vehicles, the chosen architecture has a lower propulsive efficiency but is easier to waterproof and capable to withstand greater pressures. To generate the alternating motion of the robot bio-inspired thruster, namely a plane fin, a transmission system was designed to replace the direct drive widely adopted in underwater biomimetic vehicles. The mechanical efficiency of two alternative mechanisms capable to actuate the fin were computed according to a preliminary sizing of the robot and its targeted swimming performances. Therefore, the more suitable solution was manufactured and installed aboard. At the same time, a proper navigation, guidance and control architecture (NGC) was designed and then integrated in the robot main controller. The proposed solution allows the vehicle to perform different missions autonomously once their profiles are received from the base station. Preliminary tests results and future works are discussed in the final conclusions.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10846-017-0678-3", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1135942", 
            "issn": [
              "0921-0296", 
              "1573-0409"
            ], 
            "name": "Journal of Intelligent & Robotic Systems", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "91"
          }
        ], 
        "name": "Design of a Bio-Inspired Autonomous Underwater Robot", 
        "pagination": "181-192", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "7cd1c4af50eeece6ea9bb82a62436906cf8078c4b0524a56856383da39aa63ce"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10846-017-0678-3"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1091918108"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10846-017-0678-3", 
          "https://app.dimensions.ai/details/publication/pub.1091918108"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T17:36", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000538.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs10846-017-0678-3"
      }
    ]
     

    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/s10846-017-0678-3'

    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/s10846-017-0678-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10846-017-0678-3'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10846-017-0678-3'


     

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

    176 TRIPLES      21 PREDICATES      53 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10846-017-0678-3 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N7a0b65b3749544909f9dfb3f25b700a0
    4 schema:citation sg:pub.10.1007/978-3-642-02478-8_74
    5 sg:pub.10.1007/s00348-009-0684-8
    6 sg:pub.10.1016/s1672-6529(09)60184-0
    7 sg:pub.10.1038/scientificamerican0395-64
    8 https://doi.org/10.1016/j.ifacol.2015.06.011
    9 https://doi.org/10.1016/j.jfluidstructs.2012.02.008
    10 https://doi.org/10.1016/j.oceaneng.2016.11.055
    11 https://doi.org/10.1016/j.robot.2015.11.008
    12 https://doi.org/10.1016/j.sna.2008.02.013
    13 https://doi.org/10.1017/s0022112060001110
    14 https://doi.org/10.1017/s0022112097008392
    15 https://doi.org/10.1017/s0025315400026114
    16 https://doi.org/10.1088/1748-3182/7/2/025001
    17 https://doi.org/10.1093/icb/42.1.118
    18 https://doi.org/10.1098/rspb.1971.0085
    19 https://doi.org/10.1109/48.757275
    20 https://doi.org/10.1109/med.2012.6265830
    21 https://doi.org/10.1109/memsys.1994.555769
    22 https://doi.org/10.1109/mesa.2016.7587116
    23 https://doi.org/10.1109/mra.2014.2322287
    24 https://doi.org/10.1109/oceans-genova.2015.7271543
    25 https://doi.org/10.1109/oceans.2016.7761127
    26 https://doi.org/10.1109/robot.2005.1570620
    27 https://doi.org/10.1109/tro.2008.915446
    28 https://doi.org/10.3723/ut.28.175
    29 https://doi.org/10.5772/6716
    30 schema:datePublished 2018-08
    31 schema:datePublishedReg 2018-08-01
    32 schema:description The following paper presents the design and fabrication of an ostraciiform swimming robot and its navigation control and guidance system. Compared to other biomimetic vehicles, the chosen architecture has a lower propulsive efficiency but is easier to waterproof and capable to withstand greater pressures. To generate the alternating motion of the robot bio-inspired thruster, namely a plane fin, a transmission system was designed to replace the direct drive widely adopted in underwater biomimetic vehicles. The mechanical efficiency of two alternative mechanisms capable to actuate the fin were computed according to a preliminary sizing of the robot and its targeted swimming performances. Therefore, the more suitable solution was manufactured and installed aboard. At the same time, a proper navigation, guidance and control architecture (NGC) was designed and then integrated in the robot main controller. The proposed solution allows the vehicle to perform different missions autonomously once their profiles are received from the base station. Preliminary tests results and future works are discussed in the final conclusions.
    33 schema:genre research_article
    34 schema:inLanguage en
    35 schema:isAccessibleForFree false
    36 schema:isPartOf N287e84a380ae4c9584283bcf915e0137
    37 Ndbfb927d11ee4f01bc5c01646fed931a
    38 sg:journal.1135942
    39 schema:name Design of a Bio-Inspired Autonomous Underwater Robot
    40 schema:pagination 181-192
    41 schema:productId N097f561f06a94ae194b4a19ad6e67e8b
    42 N200575a04add4d03bc22a93116caff19
    43 Nd9bd76eb6ffc4607a3299d2336bcb0c4
    44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091918108
    45 https://doi.org/10.1007/s10846-017-0678-3
    46 schema:sdDatePublished 2019-04-10T17:36
    47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    48 schema:sdPublisher Na2eac301efb347da889beaa38e0ccd68
    49 schema:url http://link.springer.com/10.1007%2Fs10846-017-0678-3
    50 sgo:license sg:explorer/license/
    51 sgo:sdDataset articles
    52 rdf:type schema:ScholarlyArticle
    53 N097f561f06a94ae194b4a19ad6e67e8b schema:name readcube_id
    54 schema:value 7cd1c4af50eeece6ea9bb82a62436906cf8078c4b0524a56856383da39aa63ce
    55 rdf:type schema:PropertyValue
    56 N200575a04add4d03bc22a93116caff19 schema:name dimensions_id
    57 schema:value pub.1091918108
    58 rdf:type schema:PropertyValue
    59 N20ad41fc1cbb4e80965583be7fb80d84 rdf:first sg:person.014605461346.30
    60 rdf:rest N9118e661d6f2460a8adfe895fe457c4e
    61 N287e84a380ae4c9584283bcf915e0137 schema:issueNumber 2
    62 rdf:type schema:PublicationIssue
    63 N5237f3203f7649f3ba52a747744378d5 rdf:first sg:person.014411307426.90
    64 rdf:rest Nc8323bc634d143708aa3b1fe3421753f
    65 N7a0b65b3749544909f9dfb3f25b700a0 rdf:first sg:person.016474226175.49
    66 rdf:rest N5237f3203f7649f3ba52a747744378d5
    67 N9118e661d6f2460a8adfe895fe457c4e rdf:first sg:person.011022176746.05
    68 rdf:rest rdf:nil
    69 Na2eac301efb347da889beaa38e0ccd68 schema:name Springer Nature - SN SciGraph project
    70 rdf:type schema:Organization
    71 Nc8323bc634d143708aa3b1fe3421753f rdf:first sg:person.011571025307.35
    72 rdf:rest N20ad41fc1cbb4e80965583be7fb80d84
    73 Nd9bd76eb6ffc4607a3299d2336bcb0c4 schema:name doi
    74 schema:value 10.1007/s10846-017-0678-3
    75 rdf:type schema:PropertyValue
    76 Ndbfb927d11ee4f01bc5c01646fed931a schema:volumeNumber 91
    77 rdf:type schema:PublicationVolume
    78 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    79 schema:name Information and Computing Sciences
    80 rdf:type schema:DefinedTerm
    81 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    82 schema:name Artificial Intelligence and Image Processing
    83 rdf:type schema:DefinedTerm
    84 sg:journal.1135942 schema:issn 0921-0296
    85 1573-0409
    86 schema:name Journal of Intelligent & Robotic Systems
    87 rdf:type schema:Periodical
    88 sg:person.011022176746.05 schema:affiliation https://www.grid.ac/institutes/grid.462878.7
    89 schema:familyName Scaradozzi
    90 schema:givenName David
    91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011022176746.05
    92 rdf:type schema:Person
    93 sg:person.011571025307.35 schema:affiliation https://www.grid.ac/institutes/grid.7010.6
    94 schema:familyName Palpacelli
    95 schema:givenName Matteo-Claudio
    96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011571025307.35
    97 rdf:type schema:Person
    98 sg:person.014411307426.90 schema:affiliation https://www.grid.ac/institutes/grid.7010.6
    99 schema:familyName Palmieri
    100 schema:givenName Giacomo
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014411307426.90
    102 rdf:type schema:Person
    103 sg:person.014605461346.30 schema:affiliation https://www.grid.ac/institutes/grid.7010.6
    104 schema:familyName Panebianco
    105 schema:givenName Luca
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014605461346.30
    107 rdf:type schema:Person
    108 sg:person.016474226175.49 schema:affiliation https://www.grid.ac/institutes/grid.7010.6
    109 schema:familyName Costa
    110 schema:givenName Daniele
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016474226175.49
    112 rdf:type schema:Person
    113 sg:pub.10.1007/978-3-642-02478-8_74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051417774
    114 https://doi.org/10.1007/978-3-642-02478-8_74
    115 rdf:type schema:CreativeWork
    116 sg:pub.10.1007/s00348-009-0684-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033794831
    117 https://doi.org/10.1007/s00348-009-0684-8
    118 rdf:type schema:CreativeWork
    119 sg:pub.10.1016/s1672-6529(09)60184-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036071499
    120 https://doi.org/10.1016/s1672-6529(09)60184-0
    121 rdf:type schema:CreativeWork
    122 sg:pub.10.1038/scientificamerican0395-64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056512586
    123 https://doi.org/10.1038/scientificamerican0395-64
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1016/j.ifacol.2015.06.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021046427
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1016/j.jfluidstructs.2012.02.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016219310
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1016/j.oceaneng.2016.11.055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051085376
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1016/j.robot.2015.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040046962
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1016/j.sna.2008.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038291533
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1017/s0022112060001110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053805275
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1017/s0022112097008392 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053976176
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1017/s0025315400026114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054808793
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1088/1748-3182/7/2/025001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015625655
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1093/icb/42.1.118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006316285
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1098/rspb.1971.0085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039837068
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1109/48.757275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061176243
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1109/med.2012.6265830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095369703
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1109/memsys.1994.555769 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094044650
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1109/mesa.2016.7587116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093290619
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1109/mra.2014.2322287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039566936
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1109/oceans-genova.2015.7271543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094097686
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1109/oceans.2016.7761127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095677519
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1109/robot.2005.1570620 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095176102
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1109/tro.2008.915446 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061784939
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.3723/ut.28.175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012712260
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.5772/6716 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036988609
    168 rdf:type schema:CreativeWork
    169 https://www.grid.ac/institutes/grid.462878.7 schema:alternateName Laboratoire des Sciences de l'Information et des Systèmes
    170 schema:name Department of Information Engineering (DII), Polytechnic University of Marche, Ancona, Italy
    171 Laboratoire des Sciences de l’Information et des Systèmes Equipe I&M (ESIL) – CNRS, Marseille, France
    172 rdf:type schema:Organization
    173 https://www.grid.ac/institutes/grid.7010.6 schema:alternateName Marche Polytechnic University
    174 schema:name Department of Industrial Engineering & Mathematical Sciences (DIISM), Polytechnic University of Marche, Ancona, Italy
    175 Department of Information Engineering (DII), Polytechnic University of Marche, Ancona, Italy
    176 rdf:type schema:Organization
     




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


    ...