OpenFish: Biomimetic design of a soft robotic fish for high speed locomotion

被引:19
|
作者
Berg, Sander C. van den [1 ]
Scharff, Rob B. N. [2 ]
Wu, Jun [1 ]
机构
[1] Delft Univ Technol, Dept Sustainable Design Engn, Landbergstraat 15, NL-2628 CE Delft, Netherlands
[2] Ist Italiano Tecnol IIT, Bioinspired Soft Robot Lab, Via Morego30, I-16163 Genoa, Italy
来源
HARDWAREX | 2022年 / 12卷
关键词
Soft robotic fish; Oscillating propulsion; Marine robotics; Biomimetics; Subject area; Soft robotics; Hardware type; Underwater exploration;
D O I
10.1016/j.ohx.2022.e00320
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present OpenFish: an open source soft robotic fish which is optimized for speed and efficiency. The soft robotic fish uses a combination of an active and passive tail segment to accurately mimic the thunniform swimming mode. Through the implementation of a novel propulsion system that is capable of achieving higher oscillation frequencies with a more sinusoidal waveform, the open source soft robotic fish achieves a top speed of 0:85 m=s. Hereby, it outperforms the previously reported fastest soft robotic fish by 27%. Besides the propulsion system, the optimization of the fish morphology played a crucial role in achieving this speed. In this work, a detailed description of the design, construction and customization of the soft robotic fish is presented. Hereby, we hope this open source design will accelerate future research and developments in soft robotic fish. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Multimodal Soft Robotic Actuation and Locomotion
    Yao, Dickson R.
    Kim, Inho
    Yin, Shukun
    Gao, Wei
    ADVANCED MATERIALS, 2024, 36 (19)
  • [42] Dynamic Modeling of a Novel Kind of Rigid-Soft Coupling Biomimetic Robotic Fish
    Zuo, Qiyang
    Xu, Yaohui
    Xie, Fengran
    Fang, Haitao
    He, Kai
    Zhong, Yong
    Li, Zheng
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2022, 105 (02)
  • [43] Dynamic Modeling of a Novel Kind of Rigid-Soft Coupling Biomimetic Robotic Fish
    Qiyang Zuo
    Yaohui Xu
    Fengran Xie
    Haitao Fang
    Kai He
    Yong Zhong
    Zheng Li
    Journal of Intelligent & Robotic Systems, 2022, 105
  • [44] BIOMIMETIC LOCOMOTION FOR A ROBOTIC STINGRAY USING MEMS SENSORS
    Asadnia, M.
    Kottapalli, A. G. P.
    Cloitre, A.
    Haghighi, R.
    Triantafyllou, M.
    Miao, J.
    2015 TRANSDUCERS - 2015 18TH INTERNATIONAL CONFERENCE ON SOLID-STATE SENSORS, ACTUATORS AND MICROSYSTEMS (TRANSDUCERS), 2015, : 831 - 834
  • [45] Control and coordination of biomimetic robotic fish
    Yu, JZ
    Fang, YM
    Zhao, W
    Wang, L
    2005 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2005, : 3283 - 3288
  • [46] Study on Flexible Biomimetic Robotic Fish Modeling and Its Cruising Speed Based on CEL
    Zhang K.
    Zou Q.
    Zhao B.
    Zhang B.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2020, 48 (06): : 34 - 40and57
  • [47] Design and Modeling of a Biomimetic Gastropod-like Soft Robot with Wet Adhesive Locomotion
    Xin, Wenci
    Pan, Flippy Tianle
    Li, Yehui
    Chiu, Philip Wai Yan
    Li, Zheng
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 11997 - 12003
  • [48] The Design and Analysis of Pneumatic Rubber Actuator of Soft Robotic Fish
    Zhang, Jinhua
    Tang, Jiaqing
    Hong, Jun
    Lu, Tongqing
    Wang, Hao
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2014, PT I, 2014, 8917 : 320 - 327
  • [49] The design and analysis of pneumatic rubber actuator of soft robotic fish
    Zhang, Jinhua
    Tang, Jiaqing
    Hong, Jun
    Lu, Tongqing
    Wang, Hao
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8917 : 320 - 327
  • [50] A Leg Design Method for High Speed Quadrupedal Locomotion
    Dallas, Spyridon
    Machairas, Konstantinos
    Koutsoukis, Konstantinos
    Papadopoulos, Evangelos
    2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2017, : 4877 - 4882