Rat meets iRat

Wiles, Janet; Heath, Scott; Ball, David; Quinn, Laleh K.; Chiba, Andrea A.

doi:10.1109/devlrn.2012.6400870

Cited by 13 publications

(19 citation statements)

References 3 publications

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“…In the field of behavioral neuroscience, biologically‐inspired robots are finding extensive use in laboratory studies on animal models, such as rats or mice (Ishii et al, ; Ishii et al, ; Shi et al, ; Takanishi, Aoki, Ito, Ohkawa, & Yamaguchi, ; Wiles, Heath, Ball, Quinn, & Chiba, ). In contrast with traditional paradigms based on the use of live stimuli, which can be affected by fatigue or idiosyncratic social response toward focal subjects, robots may be used to generate consistent and repeatable stimuli.…”

mentioning

confidence: 99%

How different is a 3D‐printed replica from a conspecific in the eyes of a zebrafish?

Ruberto

Polverino

Porfiri

2017

J Exper Analysis Behavior

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Robotics is emerging as a promising tool for aiding research on animal behavior. The possibility of generating customizable, controllable, and standardized robotic stimuli has been demonstrated through a number of behavioral assays, involving vertebrates and invertebrates. However, the specific appraisal of the nature of robotic stimuli is currently lacking. Here, we attempt to evaluate this aspect in zebrafish, through a within-subject design in which experimental subjects are faced with three experimental conditions. In the first test, we investigated sociability by measuring zebrafish response to a conspecific separated by a one-way glass. In the second test, we studied zebrafish behavior in response to a 3D-printed zebrafish replica actuated along realistic trajectories through a novel four-degree-of-freedom robotic platform. Last, we investigated fear responses in a shelter-seeking test. In agreement with our expectations, zebrafish exhibited an equivalent preference for live and robotic stimuli, and the degree of preference for the robotic replica correlated negatively with the individual propensity to seek shelter. The equivalent preference for the replica and conspecific suggests that the appraisal of the target stimuli is analogous. The preliminary evidence of a correlation between behavioral responses across tests points to the readability of robotics-based approaches to investigate interindividual differences.

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mentioning

confidence: 99%

How different is a 3D‐printed replica from a conspecific in the eyes of a zebrafish?

Ruberto

Polverino

Porfiri

2017

J Exper Analysis Behavior

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“…On the other hand, in some cases, feature-mimicking may be enough to establish an interaction between the animat and the animal individuals. The iRAT (Wiles, Heath, Ball, Quinn, & Chiba, 2012), the PoulBot (Gribovskiy, Halloy, Deneubourg, Bleuler, & Mondada, 2010) and the robotic cockroach (Halloy et al, 2007) had the same size as an adult rat (Rattus norvegicus), chicken (Gallus gallus domesticus) or cockroaches (respectively), but, even for an untrained human eye, they looked rather different from the conspecific animal partner. In these cases, the rather limited resemblance was partly due to constraints of the technology, and investigators aimed to balance this by adding smells in the case of the iRAT (Quinn et al, 2018) and the robotic cockroach in order to increase the chance of interaction.…”

Section: Embodimentmentioning

confidence: 99%

Methodological challenges of the use of robots in ethological research

Abdai¹,

Korcsok²,

Köröndi³

et al. 2018

AB&C

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Artificial models have been used as interactive partners for decades to study the social behavior of animals. Recent technological developments have opened up novel possibilities by allowing researchers to use remote controlled and autonomous objects in these studies, and Animal-Robot Interaction has become an emerging field of behavior science. However, there are theoretical, methodological and practical issues in ethological research using robotic agents. Here we aimed to provide an overview on robots by classifying them along different aspects to facilitate future research, and to present some novel approaches that could be considered as a guide for researchers who are new to the fields of animal-robot interactions (ARI) and human-robot interactions (HRI). The present review may facilitate future collaboration between biologists/psychologists, robot developers, engineers and programmers that further contributes to the development of novel research methods and procedures.

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“…Robot fish that interact with living schools of fish and vibrating robots that attract bees have shown effects on collective behavior in laboratory and naturalistic environments (Schmickl et al, 2021). Robot rats, like the Waseda Rat and the iRat, interact with living rats and affect their behavior in laboratory settings (Ishii et al, 2006;Wiles et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Interactive Neurorobotics: Behavioral and Neural Dynamics of Agent Interactions

Leonardis

Breston

Lucero-Moore

et al. 2022

Preprint

Self Cite

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Interactive neurorobotics is a subfield which characterizes brain responses evoked during interaction with a robot, and their relationship with the behavioral responses. Gathering rich neural and behavioral data from humans or animals responding to agents can act as a scaffold for the design process of future social robots. The goals of this research can be broadly broken down into two categories. The first, seeks to directly study how organisms respond to artificial agents in contrast to biological or inanimate ones. The second, uses the novel affordances of the robotic platforms to investigate complex phenomena, such as responses to multisensory stimuli during minimally structured interactions, that would be difficult to capture with classical experimental setups. Here we argue that to realize the full potential of the approach, both goals must be integrated through methodological design that is informed by a deep understanding of the model system, as well as engineering and analytical considerations. We then propose a general framework for such experiments that emphasizes naturalistic interactions combined with multimodal observations and complementary analysis pipelines that are necessary to render a holistic picture of the data for the purpose of informing robotic design principles. Finally, we demonstrate this approach with an exemplar rat-robot social interaction task which included simultaneous multi-agent tracking and neural recordings.

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Rat meets iRat

Cited by 13 publications

References 3 publications

How different is a 3D‐printed replica from a conspecific in the eyes of a zebrafish?

How different is a 3D‐printed replica from a conspecific in the eyes of a zebrafish?

Methodological challenges of the use of robots in ethological research

Interactive Neurorobotics: Behavioral and Neural Dynamics of Agent Interactions

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