Literature DB >> 27073001

Fish-inspired robots: design, sensing, actuation, and autonomy--a review of research.

Aditi Raj1, Atul Thakur.   

Abstract

Underwater robot designs inspired by the behavior, physiology, and anatomy of fishes can provide enhanced maneuverability, stealth, and energy efficiency. Over the last two decades, robotics researchers have developed and reported a large variety of fish-inspired robot designs. The purpose of this review is to report different types of fish-inspired robot designs based upon their intended locomotion patterns. We present a detailed comparison of various design features like sensing, actuation, autonomy, waterproofing, and morphological structure of fish-inspired robots reported in the past decade. We believe that by studying the existing robots, future designers will be able to create new designs by adopting features from the successful robots. The review also summarizes the open research issues that need to be taken up for the further advancement of the field and also for the deployment of fish-inspired robots in practice.

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Year:  2016        PMID: 27073001     DOI: 10.1088/1748-3190/11/3/031001

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  7 in total

1.  Airfoil-like mechanics generate thrust on the anterior body of swimming fishes.

Authors:  Kelsey N Lucas; George V Lauder; Eric D Tytell
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-27       Impact factor: 11.205

2.  Open-source five degree of freedom motion platform for investigating fish-robot interaction.

Authors:  Brent Utter; Alexander Brown
Journal:  HardwareX       Date:  2020-03-18

3.  A Review of Natural Joint Systems and Numerical Investigation of Bio-Inspired GFRP-to-Steel Joints.

Authors:  Evangelos I Avgoulas; Michael P F Sutcliffe
Journal:  Materials (Basel)       Date:  2016-07-12       Impact factor: 3.623

Review 4.  A Shift from Efficiency to Adaptability: Recent Progress in Biomimetic Interactive Soft Robotics in Wet Environments.

Authors:  Jielun Fang; Yanfeng Zhuang; Kailang Liu; Zhuo Chen; Zhou Liu; Tiantian Kong; Jianhong Xu; Cheng Qi
Journal:  Adv Sci (Weinh)       Date:  2022-01-24       Impact factor: 16.806

5.  Design, Modeling, and Visual Learning-Based Control of Soft Robotic Fish Driven by Super-Coiled Polymers.

Authors:  Sunil Kumar Rajendran; Feitian Zhang
Journal:  Front Robot AI       Date:  2022-03-04

Review 6.  Synthetic living machines: A new window on life.

Authors:  Mo R Ebrahimkhani; Michael Levin
Journal:  iScience       Date:  2021-05-04

7.  Using a robotic fish to investigate individual differences in social responsiveness in the guppy.

Authors:  David Bierbach; Tim Landgraf; Pawel Romanczuk; Juliane Lukas; Hai Nguyen; Max Wolf; Jens Krause
Journal:  R Soc Open Sci       Date:  2018-08-08       Impact factor: 2.963

  7 in total

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