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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},
}