Bio-Inspired Underwater Robot

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Locomotion and Bioinspired Robotics".

Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 18053

Special Issue Editor


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Guest Editor
Department of Mechanical and Electrical Engineering, Ocean University of China, Qingdao, China
Interests: underwater robot; underwater bionics; marine electromechanical equipment; equipment status monitoring and fault diagnosis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Special Issue entitled "Bio-Inspired Underwater Robot" aims to introduce the latest research on the development of bionic underwater robots. The highlights are presented as follows:

  1. An introduction to kinematic and theoretical models of undulating fin robots is presented based on the structure, morphology and motion characteristics of typical bionic objects;
  2. The progress of research on the undulating propulsion mechanism of an undulating fin robot is presented in terms of theoretical derivation, numerical simulation and validation tests, respectively;
  3. The propulsion mechanism and the prototype development technology of the undulating fin robot are summarized and suggestions are made for the development of undulating propulsion underwater robots.

Prof. Dr. Guijie Liu
Guest Editor

Manuscript Submission Information

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Keywords

  • bionic underwater robots
  • undulating fin robots
  • undulating propulsion mechanism
  • theoretical derivation
  • numerical simulation

Published Papers (11 papers)

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Research

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15 pages, 10248 KiB  
Article
Implementation of Underwater Electric Field Communication Based on Direct Sequence Spread Spectrum (DSSS) and Binary Phase Shift Keying (BPSK) Modulation
by Yuzhong Zhang, Zhenyi Zhao, Xinglong Feng, Tianyi Zhao and Qiao Hu
Biomimetics 2024, 9(2), 103; https://doi.org/10.3390/biomimetics9020103 - 09 Feb 2024
Viewed by 1137
Abstract
Stable communication technologies in complex waters are a prerequisite for underwater operations. Underwater acoustic communication is susceptible to multipath interference, while underwater optical communication is susceptible to environmental impact. The underwater electric field communication established based on the weak electric fish perception mechanism [...] Read more.
Stable communication technologies in complex waters are a prerequisite for underwater operations. Underwater acoustic communication is susceptible to multipath interference, while underwater optical communication is susceptible to environmental impact. The underwater electric field communication established based on the weak electric fish perception mechanism is not susceptible to environmental interference, and the communication is stable. It is a new type of underwater communication technology. To address issues like short communication distances and high bit error rates in existing underwater electric field communication systems, this study focuses on underwater electric field communication systems based on direct sequence spread spectrum (DSSS) and binary phase shift keying (BPSK) modulation techniques. To verify the feasibility of the established spread spectrum electric field communication system, static communication experiments were carried out in a swimming pool using the DSSS-based system. The experimental results show that in fresh water with a conductivity of 739 μS/cm, the system can achieve underwater current electric field communication within a 11.2 m range with 10−6 bit errors. This paper validates the feasibility of DSSS BPSK in short-range underwater communication, and compact communication devices are expected to be deployed on underwater robots for underwater operations. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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22 pages, 6665 KiB  
Article
Design and Reality-Based Modeling Optimization of a Flexible Passive Joint Paddle for Swimming Robots
by Junzhe Hu, Yaohui Xu, Pengyu Chen, Fengran Xie, Hanlin Li and Kai He
Biomimetics 2024, 9(1), 56; https://doi.org/10.3390/biomimetics9010056 - 19 Jan 2024
Viewed by 1152
Abstract
Rowing motion with paired propellers is an essential actuation mechanism for swimming robots. Previous work in this field has typically employed flexible propellers to generate a net thrust or torque by using changes in the compliance values of flexible structures under the influence [...] Read more.
Rowing motion with paired propellers is an essential actuation mechanism for swimming robots. Previous work in this field has typically employed flexible propellers to generate a net thrust or torque by using changes in the compliance values of flexible structures under the influence of a fluid. The low stiffness values of the flexible structures restrict the upper limit of the oscillation frequency and amplitude, resulting in slow swimming speeds. Furthermore, complex coupling between the fluid and the propeller reduce the accuracy of flexible propeller simulations. A design of a flexible passive joint paddle was proposed in this study, and a dynamics model and simulation of the paddle were experimentally verified. In order to optimize the straight swimming speed, a data-driven model was proposed to improve the simulation accuracy. The effects of the joint number and controller parameters on the robot’s straight swimming speed were comprehensively investigated. The multi-joint paddle exhibited significantly improved thrust over the single-joint paddle in a symmetric driving mode. The data-driven model reduced the total error of the simulated data of the propulsive force in the range of control parameters to 0.51%. Swimming speed increased by 3.3 times compared to baseline. These findings demonstrate the utility of the proposed dynamics and data-driven models in the multi-objective design of swimming robots. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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17 pages, 9057 KiB  
Article
Hydrodynamics of Butterfly-Mode Flapping Propulsion of Dolphin Pectoral Fins with Elliptical Trajectories
by Dan Xia, Zhihan Li, Ming Lei, Yunde Shi and Xiang Luo
Biomimetics 2023, 8(7), 522; https://doi.org/10.3390/biomimetics8070522 - 03 Nov 2023
Cited by 1 | Viewed by 1072
Abstract
This article aims to numerically study the hydrodynamic performance of the bionic dolphin equipped with a pair of rigid pectoral fins. We use dynamic-grid technology and user-defined functions to simulate a novel butterfly-mode flapping propulsion of the fins. This pattern of propulsion is [...] Read more.
This article aims to numerically study the hydrodynamic performance of the bionic dolphin equipped with a pair of rigid pectoral fins. We use dynamic-grid technology and user-defined functions to simulate a novel butterfly-mode flapping propulsion of the fins. This pattern of propulsion is composed of three angular degrees of freedom including the pitch angle ϕp, the azimuth angle ϕa and the roll angle ϕr, which can be divided into four stages for analysis within a single cycle. The stroke of one single pectoral fin can be approximated as an ellipse trajectory, where the amplitudes of ϕa and ϕp, respectively, determine the major and minor axes of the ellipse. The fluid dynamics involved in the specific butterfly pattern is mathematically formulated, and numerical simulation is conducted to investigate the propulsion quantitatively. The results show that the dolphin with a higher water striking frequency f can acquire higher propulsion speed and efficiency. Furthermore, the shape of the ellipse trajectory under different conditions could also have different propulsion effects. The periodic generation and disappearance of vortex structures in the butterfly flapping mode show the evolution process of fluid flow around a pair of pectoral fins, which reveals the influence of motion parameters on fluid dynamics under different working conditions. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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22 pages, 23097 KiB  
Article
Effects of Different Motion Parameters on the Interaction of Fish School Subsystems
by Feihu Zhang, Jianhua Pang, Zongduo Wu, Junkai Liu and Yifei Zhong
Biomimetics 2023, 8(7), 510; https://doi.org/10.3390/biomimetics8070510 - 26 Oct 2023
Cited by 2 | Viewed by 1241
Abstract
For a long time, fish school swimming has attracted a great deal of attention in biological systems, as fish schools can have complex hydrodynamic effects on individuals. This work adopted a non-iterative, immersed boundary–lattice Boltzmann method (IB–LBM). A numerical simulation of two-dimensional three-degree-of-freedom [...] Read more.
For a long time, fish school swimming has attracted a great deal of attention in biological systems, as fish schools can have complex hydrodynamic effects on individuals. This work adopted a non-iterative, immersed boundary–lattice Boltzmann method (IB–LBM). A numerical simulation of two-dimensional three-degree-of-freedom self-propelled fish, in side-by-side, staggered, and triangle formations, was conducted by adjusting spacing and motion parameters. A comprehensive analysis of individual speed gains and energy efficiencies in these formations was carried out. Furthermore, an analysis of the hydrodynamic characteristics of fish schools was performed, using instantaneous vorticity profiles and pressure fields. Certain studies have shown that passive interactions between individuals cannot always bring hydrodynamic benefits. The swimming efficiency of side-by-side formations in the same phase gradually increases as the distance decreases, but it also brings certain burdens to individuals when the phases are different. This paper also shows that the roles of passive interactions, spacing, and deflections affect fish school subsystems differently. When the low-pressure areas created by a wake vortex act on one side of an individual’s body, the tail-end fish are good at gaining hydrodynamic benefits from it. This effect is not universal, and the degree to which individuals benefit from changes in exercise parameters varies. This study provides a theoretical basis for bioinspired robots, as well as providing certain insights into the mechanism of collective biological movement. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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17 pages, 5530 KiB  
Article
CFD-Based Simulation Analysis for Motions through Multiphase Environments
by Shuqi Wang, Jizhuang Fan and Yubin Liu
Biomimetics 2023, 8(6), 505; https://doi.org/10.3390/biomimetics8060505 - 23 Oct 2023
Viewed by 1032
Abstract
The motion process and force of the jumper crossing a multiphase environment are of great significance to the research of small amphibious robots. Here, CFD (Computational Fluid Dynamics)-based simulation analysis for motions through multiphase environments (water–air multiphase) is successfully realized by UDF (user-defined [...] Read more.
The motion process and force of the jumper crossing a multiphase environment are of great significance to the research of small amphibious robots. Here, CFD (Computational Fluid Dynamics)-based simulation analysis for motions through multiphase environments (water–air multiphase) is successfully realized by UDF (user-defined function). The analytical model is first established to investigate the jumping response of the jumpers with respect to the jump angle, force, and water depth. The numerical model of the jumper and its surrounding fluid domain is conducted to obtain various dynamic parameters in the jumping process, such as jumping height and speed. Satisfactory agreements are obtained by comparing the error of repeated simulation results (5%). Meanwhile, the influence of the jumper’s own attributes, including mass and structural size, on the jumping performance is analyzed. The flow field information, such as wall shear and velocity when the jumper approaches and breaks through the water surface, is finally extracted, which lays a foundation for the structural design and dynamic underwater analysis of the amphibious robot. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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26 pages, 12077 KiB  
Article
Central Pattern Generator (CPG)-Based Locomotion Control and Hydrodynamic Experiments of Synergistical Interaction between Pectoral Fins and Caudal Fin for Boxfish-like Robot
by Lin Chen, Yueri Cai and Shusheng Bi
Biomimetics 2023, 8(4), 380; https://doi.org/10.3390/biomimetics8040380 - 21 Aug 2023
Cited by 1 | Viewed by 1158
Abstract
Locomotion control of synergistical interaction between fins has been one of the key problems in the field of robotic fish research owing to its contribution to improving and enhancing swimming performance. In this paper, the coordinated locomotion control of the boxfish-like robot with [...] Read more.
Locomotion control of synergistical interaction between fins has been one of the key problems in the field of robotic fish research owing to its contribution to improving and enhancing swimming performance. In this paper, the coordinated locomotion control of the boxfish-like robot with pectoral and caudal fins is studied, and the effects of different control parameters on the propulsion performance are quantitatively analyzed by using hydrodynamic experiments. First, an untethered boxfish-like robot with two pectoral fins and one caudal fin was designed. Second, a central pattern generator (CPG)-based controller is used to coordinate the motions of the pectoral and caudal fins to realize the bionic locomotion of the boxfish-like robot. Finally, extensive hydrodynamic experiments are conducted to explore the effects of different CPG parameters on the propulsion performance under the synergistic interaction of pectoral and caudal fins. Results show that the amplitude and frequency significantly affect the propulsion performance, and the propulsion ability is the best when the frequency is 1 Hz. Different phase lags and offset angles between twisting and flapping of the pectoral fin can generate positive and reverse forces, which realize the forward, backward, and pitching swimming by adjusting these parameters. This paper reveals for the first time the effects of different CPG parameters on the propulsion performance in the case of the synergistic interaction between the pectoral fins and the caudal fin using hydrodynamic experimental methods, which sheds light on the optimization of the design and control parameters of the robotic fish. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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19 pages, 12296 KiB  
Article
A Comparative and Collaborative Study of the Hydrodynamics of Two Swimming Modes Applicable to Dolphins
by Dan Xia, Zhihan Li, Ming Lei, Han Yan and Zilong Zhou
Biomimetics 2023, 8(3), 311; https://doi.org/10.3390/biomimetics8030311 - 14 Jul 2023
Cited by 3 | Viewed by 1191
Abstract
This paper presents a hydrodynamics study that examines the comparison and collaboration of two swimming modes relevant to the universality of dolphins. This study utilizes a three-dimensional virtual swimmer model resembling a dolphin, which comprises a body and/or caudal fin (BCF) module, as [...] Read more.
This paper presents a hydrodynamics study that examines the comparison and collaboration of two swimming modes relevant to the universality of dolphins. This study utilizes a three-dimensional virtual swimmer model resembling a dolphin, which comprises a body and/or caudal fin (BCF) module, as well as a medium and/or paired fin (MPF) module, each equipped with predetermined kinematics. The manipulation of the dolphin to simulate various swimming modes is achieved through the application of overlapping grids in conjunction with the parallel hole cutting technique. The findings demonstrate that the swimming velocity and thrust attained through the single BCF mode consistently surpass those achieved through the single MPF mode and collaborative mode. Interestingly, the involvement of the MPF mode does not necessarily contribute to performance enhancement. Nevertheless, it is encouraging to note that adjusting the phase difference between the two modes can partially mitigate the limitations associated with the MPF mode. To further investigate the potential advantages of dual-mode collaboration, we conducted experiments by increasing the MPF frequency while keeping the BCF frequency constant, thus introducing the concept of frequency ratio (β). In comparison to the single BCF mode, the collaborative mode with a high β exhibits superior swimming velocity and thrust. Although its efficiency experiences a slight decrease, it tends to stabilize. The corresponding flow structure indirectly verifies the favorable impact of collaboration. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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17 pages, 8426 KiB  
Article
Design, Modeling, and Control of an Aurelia-Inspired Robot Based on SMA Artificial Muscles
by Yihan Yang, Chenzhong Chu, Hu Jin, Qiqiang Hu, Min Xu and Erbao Dong
Biomimetics 2023, 8(2), 261; https://doi.org/10.3390/biomimetics8020261 - 15 Jun 2023
Cited by 3 | Viewed by 1573
Abstract
This paper presented a flexible and easily fabricated untethered underwater robot inspired by Aurelia, which is named “Au-robot”. The Au-robot is actuated by six radial fins made of shape memory alloy (SMA) artificial muscle modules, which can realize pulse jet propulsion motion. The [...] Read more.
This paper presented a flexible and easily fabricated untethered underwater robot inspired by Aurelia, which is named “Au-robot”. The Au-robot is actuated by six radial fins made of shape memory alloy (SMA) artificial muscle modules, which can realize pulse jet propulsion motion. The thrust model of the Au-robot’s underwater motion is developed and analyzed. To achieve a multimodal and smooth swimming transition for the Au-robot, a control method integrating a central pattern generator (CPG) and an adaptive regulation (AR) heating strategy is provided. The experimental results demonstrate that the Au-robot, with good bionic properties in structure and movement mode, can achieve a smooth transition from low-frequency swimming to high-frequency swimming with an average maximum instantaneous velocity of 12.61 cm/s. It shows that a robot designed and fabricated with artificial muscle can imitate biological structures and movement traits more realistically and has better motor performance. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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29 pages, 1259 KiB  
Article
A Survey on Reinforcement Learning Methods in Bionic Underwater Robots
by Ru Tong, Yukai Feng, Jian Wang, Zhengxing Wu, Min Tan and Junzhi Yu
Biomimetics 2023, 8(2), 168; https://doi.org/10.3390/biomimetics8020168 - 20 Apr 2023
Cited by 3 | Viewed by 2579
Abstract
Bionic robots possess inherent advantages for underwater operations, and research on motion control and intelligent decision making has expanded their application scope. In recent years, the application of reinforcement learning algorithms in the field of bionic underwater robots has gained considerable attention, and [...] Read more.
Bionic robots possess inherent advantages for underwater operations, and research on motion control and intelligent decision making has expanded their application scope. In recent years, the application of reinforcement learning algorithms in the field of bionic underwater robots has gained considerable attention, and continues to grow. In this paper, we present a comprehensive survey of the accomplishments of reinforcement learning algorithms in the field of bionic underwater robots. Firstly, we classify existing reinforcement learning methods and introduce control tasks and decision making tasks based on the composition of bionic underwater robots. We further discuss the advantages and challenges of reinforcement learning for bionic robots in underwater environments. Secondly, we review the establishment of existing reinforcement learning algorithms for bionic underwater robots from different task perspectives. Thirdly, we explore the existing training and deployment solutions of reinforcement learning algorithms for bionic underwater robots, focusing on the challenges posed by complex underwater environments and underactuated bionic robots. Finally, the limitations and future development directions of reinforcement learning in the field of bionic underwater robots are discussed. This survey provides a foundation for exploring reinforcement learning control and decision making methods for bionic underwater robots, and provides insights for future research. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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Review

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33 pages, 16063 KiB  
Review
Review of Computational Fluid Dynamics Analysis in Biomimetic Applications for Underwater Vehicles
by Zhijun Zhang, Qigan Wang and Shujun Zhang
Biomimetics 2024, 9(2), 79; https://doi.org/10.3390/biomimetics9020079 - 28 Jan 2024
Viewed by 1422
Abstract
Biomimetics, which draws inspiration from nature, has emerged as a key approach in the development of underwater vehicles. The integration of this approach with computational fluid dynamics (CFD) has further propelled research in this field. CFD, as an effective tool for dynamic analysis, [...] Read more.
Biomimetics, which draws inspiration from nature, has emerged as a key approach in the development of underwater vehicles. The integration of this approach with computational fluid dynamics (CFD) has further propelled research in this field. CFD, as an effective tool for dynamic analysis, contributes significantly to understanding and resolving complex fluid dynamic problems in underwater vehicles. Biomimetics seeks to harness innovative inspiration from the biological world. Through the imitation of the structure, behavior, and functions of organisms, biomimetics enables the creation of efficient and unique designs. These designs are aimed at enhancing the speed, reliability, and maneuverability of underwater vehicles, as well as reducing drag and noise. CFD technology, which is capable of precisely predicting and simulating fluid flow behaviors, plays a crucial role in optimizing the structural design of underwater vehicles, thereby significantly enhancing their hydrodynamic and kinematic performances. Combining biomimetics and CFD technology introduces a novel approach to underwater vehicle design and unveils broad prospects for research in natural science and engineering applications. Consequently, this paper aims to review the application of CFD technology in the biomimicry of underwater vehicles, with a primary focus on biomimetic propulsion, biomimetic drag reduction, and biomimetic noise reduction. Additionally, it explores the challenges faced in this field and anticipates future advancements. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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21 pages, 24073 KiB  
Review
Underwater Undulating Propulsion Biomimetic Robots: A Review
by Gongbo Li, Guijie Liu, Dingxin Leng, Xin Fang, Guanghao Li and Wenqian Wang
Biomimetics 2023, 8(3), 318; https://doi.org/10.3390/biomimetics8030318 - 19 Jul 2023
Cited by 10 | Viewed by 3422
Abstract
The traditional propeller-based propulsion of underwater robots is inefficient and poorly adapted to practice. By contrast, underwater biomimetic robots show better stability and maneuverability in harsh marine environments. This is particularly true of undulating propulsion biomimetic robots. This paper classifies the existing underwater [...] Read more.
The traditional propeller-based propulsion of underwater robots is inefficient and poorly adapted to practice. By contrast, underwater biomimetic robots show better stability and maneuverability in harsh marine environments. This is particularly true of undulating propulsion biomimetic robots. This paper classifies the existing underwater biomimetic robots and outlines their main contributions to the field. The propulsion mechanisms of underwater biomimetic undulating robots are summarized based on theoretical, numerical and experimental studies. Future perspectives on underwater biomimetic undulating robots are also presented, filling the gaps in the existing literature. Full article
(This article belongs to the Special Issue Bio-Inspired Underwater Robot)
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