January 31, 2022 Journal article Open Access

Rodriguez-Gomez, Juan Pablo; Tapia, Raul; Guzman, Maria del Mar; Martinez de-Dios, Jose Ramiro; Ollero, Anibal

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">event camera, ornithopter, flapping-wing robot, reactive sense-and-avoid.</subfield>
  </datafield>
  <controlfield tag="005">20220131134914.0</controlfield>
  <controlfield tag="001">5924071</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">University of Seville</subfield>
    <subfield code="0">(orcid)0000-0002-4435-5466</subfield>
    <subfield code="a">Tapia, Raul</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">University of Seville</subfield>
    <subfield code="0">(orcid)0000-0001-6618-0663</subfield>
    <subfield code="a">Guzman, Maria del Mar</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">University of Seville</subfield>
    <subfield code="0">(orcid)0000-0001-9431-7831</subfield>
    <subfield code="a">Martinez de-Dios, Jose Ramiro</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">University of Seville</subfield>
    <subfield code="0">(orcid)0000-0003-2155-2472</subfield>
    <subfield code="a">Ollero, Anibal</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">13562022</subfield>
    <subfield code="z">md5:b4675e5c8c9d2a2ca06c6a402e20c1e4</subfield>
    <subfield code="u">https://zenodo.org/record/5924071/files/FreeAsaBird_Preprint_JPRG.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2022-01-31</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="o">oai:zenodo.org:5924071</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="4">
    <subfield code="p">Robotic and Automation Letters (RA-L)</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">University of Seville</subfield>
    <subfield code="0">(orcid)0000-0001-7628-1660</subfield>
    <subfield code="a">Rodriguez-Gomez, Juan Pablo</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Free as a Bird:  Event-based Dynamic Sense-and-Avoid for Ornithopter Robot Flight</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">788247</subfield>
    <subfield code="a">General compliant aerial Robotic manipulation system Integrating Fixed and Flapping wings to INcrease range and safety</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">871479</subfield>
    <subfield code="a">AERIAL COgnitive integrated multi-task Robotic system with Extended operation range and safety</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;Autonomous flight of flapping-wing robots is a major challenge for robot perception. Most of the previous sense-and-avoid works have studied the problem of obstacle avoidance for flapping-wing robots considering only static obstacles. This paper presents a fully onboard dynamic sense-and-avoid scheme for large-scale ornithopters using event cameras. These sensors trigger pixel information due to changes of illumination in the scene such as those produced by dynamic objects. The method performs event-by-event processing in low-cost hardware such as those onboard small aerial vehicles. The proposed scheme detects obstacles and evaluates possible collisions with the robot body. The onboard controller actuates over the horizontal and vertical tail deflections to execute the avoidance maneuver. The scheme is validated in both indoor and outdoor scenarios using obstacles of different shapes and sizes. To the best of the authors&amp;#39; knowledge, this is the first event-based method for dynamic obstacle avoidance in a flapping-wing robot.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.5924070</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.5924071</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">article</subfield>
  </datafield>
</record>