Bioinspiration, Biomimetics, and Bioreplication 2014 2014
DOI: 10.1117/12.2044622
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Fish-robot interactions in a free-swimming environment: Effects of speed and configuration of robots on live fish

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Cited by 10 publications
(18 citation statements)
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“…While the tail beating of the RiBot does not recreate the exact same hydrodynamic patterns that fish generate, it can reproduce the average tail beating range of the zebrafish that has been shown to be an attractive stimulus. [6][7][8] We have studied the locomotion behavior of zebrafish in a rectangular tank in order to establish a controller for the locomotion of the Fish-CASUs. First, we observed a heterogeneous spatial repartition of the linear speed of the fish in the aquarium.…”
Section: Resultsmentioning
confidence: 99%
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“…While the tail beating of the RiBot does not recreate the exact same hydrodynamic patterns that fish generate, it can reproduce the average tail beating range of the zebrafish that has been shown to be an attractive stimulus. [6][7][8] We have studied the locomotion behavior of zebrafish in a rectangular tank in order to establish a controller for the locomotion of the Fish-CASUs. First, we observed a heterogeneous spatial repartition of the linear speed of the fish in the aquarium.…”
Section: Resultsmentioning
confidence: 99%
“…Finally, in terms of linear speed, in a study by Aureli et al, 7 the lure is moving autonomously underwater and thus its linear speed is quite small. In a study by Butail et al, 8 the lure is attached to a robotic arm that allows it to move with speeds up to 40 mm s À1 . Thanks to the coupling with the FishBot, the RiBot is able to move with much higher speeds than the other existing solutions.…”
Section: Hardware Designmentioning
confidence: 99%
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“…In the past decade, researchers in the field of animal-robot interaction have tried to extend this field of study to fish. Four major types of robotic devices have been created for fish-robot interaction studies: a two-dimensional moving platform underneath a tank to transmit the two-dimensional motions to a lure inside the tank using magnetic coupling, as shown in Faria et al (2010); robotic arms that steer lures inside aquariums, as shown in Phamduy et al (2014), Polverino and Porfiri (2013a, b), Kopman et al (2013), Abaid et al (2012), Butail et al (2014a), Cianca et al (2013), Ladu et al (2015a, b), Polverino et al (2012), Spinello et al (2013), Bartolini et al (2016), Donati et al (2016), Ruberto et al (2016Ruberto et al ( , 2017, and Romano et al (2017); wheeled mobile robots that move below a tank and steer lures inside the tank using magnetic coupling, as shown in Swain et al (2012), Rashid et al (2012), and Landgraf et al (2013Landgraf et al ( , 2016; robotic lures that swim autonomously underwater, as shown in Abaid et al (2013), Butail et al (2013), and Butail et al (2014b). While these studies have demonstrated the potential to develop artificial devices able to interact with fish, there is no solution involving multiple robots that move independently and reproduce the same trajectory and locomotion patterns as the fish being studied, which would show how a group of robotic agents would integrate and be able to modulate the collective decision-making process of the animals, as was the case in the LEURRE project.…”
Section: Introductionmentioning
confidence: 99%