This paper studies the response of zebrafish to a bioinspired robotic-fish. The robot’s color pattern and morphophysiology are modulated to emphasize features normally admired by zebrafish in conspecifics. A three-chambered instrumented tank is utilized to conduct a series of preference tests, offering the robotic-fish as a stimulus, juxtaposed with an empty compartment, to live zebrafish. The time spent by fish in the proximity of either stimulus compartment is used to score the preference of an individual to a stimulus. The tail-beating motion of the robotic fish is manipulated based on closed- and open-loop control strategies. The closed-loop controller uses the distance of the live-fish from the robotic-stimulus as its control input, while the open-loop controller provides a tail-beating motion, irrespective of fish behavior. Live-fish locomotion patterns and their preference space are compared and analyzed to ascertain the effects of closed-loop control on zebrafish response. This study’s results suggest that closed-loop control reinforces attraction to the robotic-stimulus, as compared to the open-loop approach, over extended exposure to the robot, therefore aiding against habituation to a stimulus.
- Dynamic Systems and Control Division
Using a Bioinspired Robotic-Fish for Closed-Loop Control of Zebrafish Response in a Preference Test
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Kopman, V, Polverino, G, Laut, J, & Porfiri, M. "Using a Bioinspired Robotic-Fish for Closed-Loop Control of Zebrafish Response in a Preference Test." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; Modeling and Simulation; Multi-Agent and Cooperative Systems; Musculoskeletal Dynamic Systems; Nano Systems; Nonlinear Systems; Nonlinear Systems and Control; Optimal Control; Pattern Recognition and Intelligent Systems; Power and Renewable Energy Systems; Powertrain Systems. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 155-162. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8521
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