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@ARTICLE{Schoepe:1022168,
      author       = {Schoepe, Thorben and Janotte, Ella and Milde, Moritz B. and
                      Bertrand, Olivier J. N. and Egelhaaf, Martin and Chicca,
                      Elisabetta},
      title        = {{F}inding the gap: neuromorphic motion-vision in dense
                      environments},
      journal      = {Nature Communications},
      volume       = {15},
      number       = {1},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Nature Publishing Group UK},
      reportid     = {FZJ-2024-01289},
      pages        = {817},
      year         = {2024},
      abstract     = {Animals have evolved mechanisms to travel safely and
                      efficiently within different habitats. On a journey in dense
                      terrains animals avoid collisions andcross narrow passages
                      while controlling an overall course. Multiple hypotheses
                      target how animals solve challenges faced during such
                      travel. Here weshow that a single mechanism enables safe and
                      efficient travel. We developed arobot inspired by insects.
                      It has remarkable capabilities to travel in denseterrain,
                      avoiding collisions, crossing gaps and selecting safe
                      passages. Thesecapabilities are accomplished by a
                      neuromorphic network steering the robottoward regions of low
                      apparent motion. Our system leverages knowledgeabout vision
                      processing and obstacle avoidance in insects. Our
                      resultsdemonstrate how insects might safely travel through
                      diverse habitats. Weanticipate our system to be a working
                      hypothesis to study insects’ travels indense terrains.
                      Furthermore, it illustrates that we can design novel
                      hardwaresystems by understanding the underlying mechanisms
                      driving behaviour.},
      cin          = {PGI-15},
      ddc          = {500},
      cid          = {I:(DE-Juel1)PGI-15-20210701},
      pnm          = {5234 - Emerging NC Architectures (POF4-523)},
      pid          = {G:(DE-HGF)POF4-5234},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {38280859},
      UT           = {WOS:001152430000011},
      doi          = {10.1038/s41467-024-45063-y},
      url          = {https://juser.fz-juelich.de/record/1022168},
}