Fish Lateral Line Inspired Flow Sensors and Flow-aided Control: A Review

Zhai, Yufan; Zheng, Xingwen; Xie, Guangming

doi:10.1007/s42235-021-0034-y

Cited by 40 publications

(17 citation statements)

References 96 publications

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“…[152,153] In recent years, researchers have made good progress through the bionic sideline system. [154][155][156][157] In addition, the integration of flexible sensing and soft actuating is also an important part of realizing intelligent control for soft robots. A series of related studies have become a hot topic of research.…”

Section: Discussionmentioning

confidence: 99%

Soft Underwater Swimming Robots Based on Artificial Muscle

Wang

Zhang

et al. 2022

Adv Materials Technologies

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Hence, the exploration and exploitation of marine resources are crucial to human development. However, due to the deep sea's low temperature, high pressure, and complex fluid environment, it is difficult for human beings to easily investigate and work there. As a result, only 5% of Earth's oceans have been explored. Fortunately, thanks to recent rapid developments in science and technology, underwater robotics has seen explosive growth, giving humans a powerful tool to explore the world's oceans, which are expected to play a key role in the underwater rescue, submarine inspection, and hydrological monitoring. [2,3] Recently, with the fast development of bionic technology, [4][5][6][7][8][9] advanced underwater experimental platforms, [10][11][12][13][14] and computational science, [15][16][17][18][19][20] researchers have a deeper understanding of the swimming mechanism of aquatic organisms, which has promoted the explosive growth of underwater robots. [21][22][23][24][25] For example, Zhang et al. [26] developed a gliding robotic fish for long-duration monitoring of underwater environments by combining underwater gliders and robotic fish. Yu et al. [27] developed a biomimetic robot dolphin that, by controlling the pitch angle and swimming speed, could successfully jump out of the water. Lauder and coworkers [28] designed a fast-swimming robot tuna that, through the high-frequency oscillation of the caudal fin, could achieve a maximum tail beat frequency of 15 Hz, which corresponds to a swimming speed of 4.0 body lengths per second (BL S −1 ). However, most underwater robots are driven by motors that are bulky in structure and lack essential safety. In the execution of underwater missions, it is not only easy to cause harm to marine organisms, but it is also difficult to complete required tasks due to poor overall flexibility. Moreover, a rigid robot body driven by a motor suffers from high noise output and a low battery energy conversion rate, meaning that the robot is unable to realize long-term and long-distance tasks. A high noise output can also expose the position of the underwater robot. Overall, the shortcomings of rigid robotic fish significantly restrict application at sea. It is an urgent need to develop high-performance underwater swimming robots with new propulsion methods and bionic structures. Benefiting from the rapid development of materials science and intelligent manufacturing, soft underwater swimming robots have become a hot topic of research. Compared with With the increasing requirements of underwater missions and the rapid development of soft robotics technologies, soft underwater swimming robots have become a hot topic of research due to their low noise, high flexibility, and high environmental adaptability. In the past 10 years, research into soft underwater robots based on artificial muscle actuation has made considerable progress. Herein, a comprehensive survey on recent advances in soft underwater swimming robots based on different actuation methods is reviewed systematically, includi...

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Section: Discussionmentioning

confidence: 99%

Soft Underwater Swimming Robots Based on Artificial Muscle

Wang

Zhang

et al. 2022

Adv Materials Technologies

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“…Since the robot fish's electronic communication system frequently uses the same channel, collisions always occur during communication. To solve this problem, based on carrier sense multiple access with collision avoidance (CSMA/CA), an electronic communication system was proposed by Zhang et al [54] . This system incorporated a communication channel detection circuit and employed a CSMA/CA-based protocol.…”

Section: Communication Of Multiple Robot Fishesmentioning

confidence: 99%

“…Fish can perceive information from the surrounding fluid using the lateral line system (LLS) [55]. This has serious implications for their underwater survival.…”

Section: Communication Of Multiple Robot Fishesmentioning

confidence: 99%

Designs, motion mechanism, motion coordination, and communication of bionic robot fishes: a survey

Yu¹,

Li²,

J³

et al. 2022

Intell Robot

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In the last few years, there have been many developments and significant accomplishments in the research of bionic robot fishes. However, in terms of swimming performance, existing bionic robot fishes lag far behind fish, prompting researchers to constantly innovative designs of various bionic robot fishes. In this paper, the latest designs of robot fishes are presented in detail, distinguished by the propulsion mode. New robot fishes are mainly includes soft robot fishes and rigid-soft coupled robot fishes. The latest progress in the study of the swimming mechanism is analyzed on the basis of summarizing the main swimming theories of fish. The current state-of-the-art research in the new field of motion coordination and communication of multiple robot fishes is summarized. The general research trend in robot fishes is to utilize a more efficient and robust methods to best mimic real fish while exhibiting superior swimming performance. The current challenges and potential future research directions are discussed. Various methods are needed to narrow the gap in swimming performance between robot fishes and fish. This paper is a first step to bring together roboticists and marine biologists interested in learning the state-of-the-art research on bionic robot fishes.

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“…Biomimicry studies have shown that fish can use the lateral line system to obtain information such as the underwater environment and the location of targets, which is essential for fish to move, hunt, and avoid predators [4]. The lateral line system is a type of neuron on the surface of fish that senses surface pressure to obtain underwater information [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Multiple Attitude Estimation Models based on a Pressure Sensor Array

Wang¹,

Yu²

2023

J. Phys.: Conf. Ser.

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Autonomous navigation is critical for autonomous underwater vehicle to complete underwater tasks, and attitude is an essential parameter of autonomous navigation. Inspired by the biomimicry studies, three attitude estimation models based on a pressure sensor array are constructed, which are the direct method, the multi-layer perception model and the attitude estimation model based on physical knowledge respectively. The field tests are carried out to verify the effectiveness of the proposed methods, and the advantages and disadvantages of the three methods are compared. It turns out that the attitude estimation model based on physical knowledge achieves the optimal results, and the estimated error of pitch is lower than 1.9133°, and the estimated error of roll is lower than 2.6719°. Further, there is no cumulative attitude error, which complies that the attitude estimation model based on physical knowledge has a high potential for applications in autonomous navigation systems.

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Fish Lateral Line Inspired Flow Sensors and Flow-aided Control: A Review

Cited by 40 publications

References 96 publications

Soft Underwater Swimming Robots Based on Artificial Muscle

Soft Underwater Swimming Robots Based on Artificial Muscle

Designs, motion mechanism, motion coordination, and communication of bionic robot fishes: a survey

Multiple Attitude Estimation Models based on a Pressure Sensor Array

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