Abstract
We describe the first robot designed to emulate specific perceptual and motor capabilities of the fiddler crab. An omnidirectional robot platform uses onboard computation to process images from a \(360^{\circ }\) camera view, filtering it through a biological model of the crab’s ommatidia layout, extracting potential ‘predator’ cues, and executing an evasion response that also depends on contextual information. We show that, as for real crabs, multiple cues are needed for effective escape in different predator-prey scenarios.
T. Stouraitis and E. Gkanias contributed equally to this work and jointly assert first authorship.
This work was in part supported by an Australian Research Council (ARC) Discovery Grant (DP160102658).
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Stouraitis, T., Gkanias, E., Hemmi, J.M., Webb, B. (2017). Predator Evasion by a Robocrab. In: Mangan, M., Cutkosky, M., Mura, A., Verschure, P., Prescott, T., Lepora, N. (eds) Biomimetic and Biohybrid Systems. Living Machines 2017. Lecture Notes in Computer Science(), vol 10384. Springer, Cham. https://doi.org/10.1007/978-3-319-63537-8_36
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