04512nam 22006015 450 991048351680332120200702221643.03-030-16781-X10.1007/978-3-030-16781-3(CKB)4100000008347247(DE-He213)978-3-030-16781-3(MiAaPQ)EBC5922078(PPN)243768567(EXLCZ)99410000000834724720190530d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierShoaling with Fish: Using Miniature Robotic Agents to Close the Interaction Loop with Groups of Zebrafish Danio rerio /by Frank Bonnet, Francesco Mondada1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XXV, 169 p. 107 illus., 91 illus. in color.) Springer Tracts in Advanced Robotics,1610-7438 ;1313-030-16780-1 Includes bibliographical references.Introduction -- State of the art in fish behavioral studies using robots and robotic-fish design -- The zebrafish Danio rerio as a model animal for animal-robot interaction studies -- FishBot, the fast miniature wheeledmobile robot -- RiBot, the actuated robotic fish lure -- Automated setup to conduct experiments with mixed societies of fish and robots -- CATS, the control and tracking software -- Biomimetic behavior models for controlling a robotic fish -- Application of a fractional factorial design to model the attractiveness of a robotic fish to a shoal of zebrafish -- Using a circular corridor to characterize the attractive cues of lures for a shoal of zebrafish -- Towards mixed societies of fish and robots -- Conclusion.Robotic animals are nowadays developed for various types of research, such as bio-inspired robotics, biomimetics and animal behavior studies. More specifically, in the case of collective animal behavior research, the robotic device can interact with animals by generating and exploiting signals relevant for social behavior. Once perceived by the animal society as conspecific, these robots can become powerful tools to study the animal behaviors, as they can at the same time monitor the changes in behavior and influence the collective choices of the animal society. In this book, we present novel robotized tools that can integrate shoals of fish in order to study their collective behaviors. We used the current state of the art on the zebrafish social behavior to define the specifications of the robots, and we performed stimuli analysis to improve their developments. Bio-inspired controllers were designed based on data extracted from experiments with zebrafish for the robots to mimic the zebrafish locomotion underwater. Experiments involving mixed groups of fish and robots qualified the robotic system to be integrated among a zebrafish shoal and to be able to influence the collective decisions of the fish. These results are very promising for the field of animal-robot interaction studies, as we showed the effect of the robots in long-duration experiments and repetitively, with the same order of response from the animals.Springer Tracts in Advanced Robotics,1610-7438 ;131RoboticsAutomationBiomedical engineeringRobotics and Automationhttps://scigraph.springernature.com/ontologies/product-market-codes/T19020Biomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XRoboticshttps://scigraph.springernature.com/ontologies/product-market-codes/I21050Robotics.Automation.Biomedical engineering.Robotics and Automation.Biomedical Engineering and Bioengineering.Robotics.629.892629.892Bonnet Frankauthttp://id.loc.gov/vocabulary/relators/aut1227518Mondada Francescoauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910483516803321Shoaling with Fish: Using Miniature Robotic Agents to Close the Interaction Loop with Groups of Zebrafish Danio rerio2850050UNINA