2022
DOI: 10.3389/frobt.2022.865414
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Beyond Bio-Inspired Robotics: How Multi-Robot Systems Can Support Research on Collective Animal Behavior

Abstract: In the study of collective animal behavior, researchers usually rely on gathering empirical data from animals in the wild. While the data gathered can be highly accurate, researchers have limited control over both the test environment and the agents under study. Further aggravating the data gathering problem is the fact that empirical studies of animal groups typically involve a large number of conspecifics. In these groups, collective dynamics may occur over long periods of time interspersed with excessively … Show more

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Cited by 6 publications
(2 citation statements)
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“…Synergistic bio-robotic studies of collective motion: the gap Shared interests of biologists and roboticists have led to advances in several areas of research other than that of swarms and collective motion. Over the years there have been studies that exploited the complementary nature of the two disciplines: bio-inspired robotics traditionally draws inspiration from nature and applies it to technological advances (Bonabeau et al, 1999;Kernbach et al, 2010;Werfel et al, 2014); while robotics-assisted biology utilizes robots as a way to create dynamically-controlled conditions, enabling the testing of biology hypotheses that could otherwise not be tested (Balch et al, 2006;Gribovskiy et al, 2010;Krause et al, 2011;Bonnet et al, 2012;Porfiri et al, 2019;Horsevad et al, 2022;see Romano and Stefanini, 2021a for a recent collection).…”
Section: Collective Motion In Roboticsmentioning
confidence: 99%
“…Synergistic bio-robotic studies of collective motion: the gap Shared interests of biologists and roboticists have led to advances in several areas of research other than that of swarms and collective motion. Over the years there have been studies that exploited the complementary nature of the two disciplines: bio-inspired robotics traditionally draws inspiration from nature and applies it to technological advances (Bonabeau et al, 1999;Kernbach et al, 2010;Werfel et al, 2014); while robotics-assisted biology utilizes robots as a way to create dynamically-controlled conditions, enabling the testing of biology hypotheses that could otherwise not be tested (Balch et al, 2006;Gribovskiy et al, 2010;Krause et al, 2011;Bonnet et al, 2012;Porfiri et al, 2019;Horsevad et al, 2022;see Romano and Stefanini, 2021a for a recent collection).…”
Section: Collective Motion In Roboticsmentioning
confidence: 99%
“…Thankfully, programmable swarm-robotic systems provide us with an ideal test-bed to validate the criticality hypothesis [35]. By arbitrarily customizing the interaction rules or strategies of inter-robots (which can be inferred from animal groups [36,37] or made up from theoretical models of our interests [38,39]) and programming to change the behavioural strength or scale of each robot, it is feasible to control these artificial swarm systems to reach or move away from a critical state.…”
Section: Introductionmentioning
confidence: 99%