Design, Modeling, and Control of Biomimetic Fish Robot: A Review

Duraisamy, Palmani; Sidharthan, Rakesh Kumar; Santhanakrishnan, Manigandan Nagarajan

doi:10.1007/s42235-019-0111-7

Cited by 81 publications

(29 citation statements)

References 116 publications

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“…A potential line of approach to explore the possibility of a complete passive form of rheotaxis is through experiments with robotic fish ( Duraisamy et al, 2019 ; Wang et al, 2020 ; Zhang et al, 2016 ), mimicking locomotory patterns of live animals and allowing to precisely control sensory input. In this vein, we foresee experiments with robotic fish in a complete open-loop operation that does not utilize any sensory input.…”

Section: Discussionmentioning

confidence: 99%

Hydrodynamic model of fish orientation in a channel flow

Porfiri

Zhang

Peterson

2022

eLife

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For over a century, scientists have sought to understand how fish orient against an incoming flow, even without visual and flow cues. Here, we elucidate a potential hydrodynamic mechanism of rheotaxis through the study of the bidirectional coupling between fish and the surrounding fluid. By modeling a fish as a vortex dipole in an infinite channel with an imposed background flow, we establish a planar dynamical system for the cross-stream coordinate and orientation. The system dynamics captures the existence of a critical flow speed for fish to successfully orient while performing cross-stream, periodic sweeping movements. Model predictions are examined in the context of experimental observations in the literature on the rheotactic behavior of fish deprived of visual and lateral line cues. The crucial role of bidirectional hydrodynamic interactions unveiled by this model points at an overlooked limitation of existing experimental paradigms to study rheotaxis in the laboratory.

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Section: Discussionmentioning

confidence: 99%

Hydrodynamic model of fish orientation in a channel flow

Porfiri

Zhang

Peterson

2022

eLife

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“…Robots are often used to replace humans in hazardous, uncomfortable, and tedious works (Cengiz and Mamiş, 2015; Duraisamy et al, 2019; Gundogdu and Afacan, 2012; Moradi et al, 2017; Solyman et al, 2020). Hence, up to now, researchers have been focusing on constructing biomimetic underwater vehicles that can replicate a real fish motion unlike propeller-based vehicles (Chen et al, 2021; Fish and Lauder, 2006; Korkmaz et al, 2021; Lauder and Drucker, 2004; Peng et al, 2007; Xie et al, 2021; Yurugi et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Design and test of wirelessly powered IPMC artificial muscle for aquatic ecosystem health applications

Safari

Naghavi

Malayjerdi

et al. 2022

Journal of Intelligent Material Systems and Structures

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Aquatic environments and water resources face a variety of risks from numerous sources of pollution. In this paper, we propose a preliminary mechanism for realizing robotic technology practically and cost-effectively for monitoring these pollutions. The presented system is a small robotic fish propelled by a beam of ionic polymer-metal composite (IPMC) artificial muscle that imitates the motion of a small Scorpis Georgiana fish. One of the superiorities of the proposed model is the IPMC actuation mechanism powered by a battery that is charged wirelessly from a solar panel source. This approach enables us to produce a robotic fish that works ceaselessly without being forced to carry the solar panel load. Moreover, we present a method to control the flapping motion of a robotic fish by taking advantage of a tiny Wi-Fi module that yields more working range, bulky data sending, low power consumption, simple programing, and convenient communication for creating a network with other similar robots. All these beneficial characteristics make the proposed structure a promising candidate for detecting pollution on the surface of aquatic environments and sending/recording necessary data in collaboration with desirable sensors. Theoretical considerations support experimental results reported in the paper.

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“…A potential line of approach to explore the possibility of a complete passive form of rheotaxis is through experiments with robotic fish ( Zhang et al, 2016 ; Wang et al, 2020 ; Duraisamy et al, 2019 ), mimicking locomotory patterns of live animals and allowing to precisely control sensory input. In this vein, we foresee experiments with robotic fish in a complete open-loop operation that does not utilize any sensory input.…”

Section: Discussionmentioning

confidence: 99%

Hydrodynamic model of fish orientation in a channel Flow

Porfiri

Zhang

Peterson

2021

Preprint

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For over a century, scientists have sought to understand how fish orient against an incoming flow, even without visual and flow cues. Here, we make an essential step to elucidate the hydrodynamic underpinnings of rheotaxis through the study of the bidirectional coupling between fish and the surrounding fluid. By modeling a fish as a vortex dipole in an infinite channel with an imposed background flow, we establish a planar dynamical system for the cross-stream coordinate and orientation. The system dynamics captures the existence of a critical flow speed for fish to successfully orient while performing cross-stream, periodic sweeping movements. Model predictions are validated against experimental observations in the literature on the rheotactic behavior of fish deprived of visual and lateral line cues. The crucial role of bidirectional hydrodynamic interactions unveiled by this model points at an overlooked limitation of existing experimental paradigms to study rheotaxis in the laboratory.

show abstract

Design, Modeling, and Control of Biomimetic Fish Robot: A Review

Cited by 81 publications

References 116 publications

Hydrodynamic model of fish orientation in a channel flow

Hydrodynamic model of fish orientation in a channel flow

Design and test of wirelessly powered IPMC artificial muscle for aquatic ecosystem health applications

Hydrodynamic model of fish orientation in a channel Flow

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