Interactive Robotic Fish for the Analysis of Swarm Behavior

Landgraf, Tim; Nguyen, Hai; Forgo, Stefan; Schneider, Ján; Schröer, Joseph; Krüger, Christoph; Matzke, Henrik; Clément, Romain O.; Krause, Jens; Rojas, Raúl

doi:10.1007/978-3-642-38703-6_1

Cited by 28 publications

(35 citation statements)

References 5 publications

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“…Halloy et al, 2007), fish (e.g. Faria et al, 2010;Swain et al, 2012;Landgraf et al, 2013Landgraf et al, , 2016Cazenille et al, 2017) and rats (e.g. Shi et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Robot Collection and Transport of Objects: A Biomimetic Process

Strömbom

King

2018

Front. Robot. AI

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Animals as diverse as ants and humans are faced with the tasks of collecting, transporting or herding objects. Sheepdogs do this daily when they collect, herd, and maneuver flocks of sheep. Here, we adapt a shepherding algorithm inspired by sheepdogs to collect and transport objects using a robot. Our approach produces an effective robot collection process that autonomously adapts to changing environmental conditions and is robust to noise from various sources. We suggest that this biomimetic process could be implemented into suitable robots to perform collection and transport tasks that might include -for example -cleaning up objects in the environment, keeping animals away from sensitive areas or collecting and herding animals to a specific location. Furthermore, the feedback controlled interactions between the robot and objects which we study can be used to interrogate and understand the local and global interactions of real animal groups, thus offering a novel methodology of value to researchers studying collective animal behavior.

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“…Halloy et al, 2007), fish (e.g. Faria et al, 2010;Swain et al, 2012;Landgraf et al, 2013Landgraf et al, , 2016Cazenille et al, 2017) and rats (e.g. Shi et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Robot Collection and Transport of Objects: A Biomimetic Process

Strömbom

King

2018

Front. Robot. AI

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“…A 110-W fluorescent lamp was placed at each side of the tank and oriented toward the white sheets to provide indirect daylight lighting of the tank. The robots moved underneath the aquarium, and the motion was transmitted to fish lures by using magnets, as in Swain et al (2012), and Landgraf et al (2013Landgraf et al ( , 2016.…”

Section: Methodsmentioning

confidence: 99%

“…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%

Closed-loop interactions between a shoal of zebrafish and a group of robotic fish in a circular corridor

et al. 2018

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Collective behavior based on self-organization has been observed in populations of animals from insects to vertebrates. These findings have motivated engineers to investigate approaches to control autonomous multi-robot systems able to reproduce collective animal behaviors, and even to collectively interact with groups of animals. In this article, we show collective decision making by a group of autonomous robots and a group of zebrafish, leading to a shared decision about swimming direction. The robots can also modulate the collective decision-making process in biased and non-biased experimental setups. These results demonstrate the possibility of creating mixed societies of vertebrates and robots in order to study or control animal behavior.

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“…Robotic fishes presented in [10,11,12] were designed to interact with live fish. In these studies robots share the same mechanical design approach, they consist of two modules: a replica fish fixed on the magnetic base and a miniature mobile robot guiding the replica fish from below the experimental tank.…”

Section: Introductionmentioning

confidence: 99%

Designing a socially integrated mobile robot for ethological research

Gribovskiy

Halloy

Deneubourg

et al. 2018

Robotics and Autonomous Systems

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A robot introduced into an animal group, accepted by the animals as conspecifics, and capable of interacting with them is a very efficient tool for ethological research, particularly in studies of collective and social behavior. In this paper, we present the implementation of an autonomous mobile robot developed by the authors to study group behavior of chicks of the domestic chicken (Gallus gallus domesticus). We discuss the design of the robot and of the experimental setup that we built to run animal-robot experiments. The robot design was experimentally validated, it was demonstrated that the robot can be socially integrated into animal groups. The designed system opens new opportunities in the study of behavior in domestic fowl by using mobile robots. Being socially integrated into the animal group, mobile robots can profit from the positive feedback mechanism that plays key roles in animal collective behavior. They have potential applications in various domains, from pure scientific research to applied areas such as control and ensuring welfare of poultry.

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Interactive Robotic Fish for the Analysis of Swarm Behavior

Cited by 28 publications

References 5 publications

Robot Collection and Transport of Objects: A Biomimetic Process

Robot Collection and Transport of Objects: A Biomimetic Process

Closed-loop interactions between a shoal of zebrafish and a group of robotic fish in a circular corridor

Designing a socially integrated mobile robot for ethological research

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