A Manta Ray-Inspired Biosyncretic Robot with Stable Controllability by Dynamic Electric Stimulation

Zhang, Chuang; Zhang, Yiwei; Wang, Wenxue; Xi, Ning; Liu, Lianqing

doi:10.34133/2022/9891380

Cited by 35 publications

(20 citation statements)

References 59 publications

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“…Chemical bonding adhesives have proven applications in medical engineering and can also be used in the design of biological tissues or organs, as well as in the construction of micro‐ and nanorobots that move freely or specifically within tissues. It is worth noting that with the development of electromechanical‐biological fusion technology, [ 184 ] the adequate level of adhesion exhibited by chemical bonding adhesives with good compatibility to muscle tissue and artificial materials can optimize the structure of biosyncretic/biohybrid robots, thereby improving the performance of biosyncretic robots and extending their capabilities. In terms of dry adhesives, the development of efficient and smart adhesives can further enhance the adaptability of climbing robots and grippers to substrate surfaces.…”

Section: Discussionmentioning

confidence: 99%

Bionic Adhesion Systems: From Natural Design to Artificial Application

Qin,

Zhang,

Tan

et al. 2023

Adv Materials Technologies

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Creatures in nature perform a variety of activities through adhesion behavior, including moving flexibly and quickly on inclined and vertical walls and even ceilings. Studying the physical and chemical mechanisms underlying their adhesion behaviors can provide effective templates for applications such as climbing robots, grippers, and medical devices. This review summarizes various major types of adhesion that creatures rely on and their morphological structures that enhance adhesion, in addition to discussing their inspiration regarding the design of bionic adhesion systems. First, different adhesion types adopted by creatures in various natural environments are introduced, and the adhesion mechanisms and their theoretical models are summarized. Subsequently, the convergent evolution exhibited in biological adhesion structures is summarized from three perspectives: size limitation, compliance, and fluid transport. The development of the bionic design process wherein researchers imitate the natural biological adhesion process to create artificial adhesives is then presented regarding three mechanisms: chemical bonding adhesives, fiber arrays, and suckers. Fiber arrays are further divided into dry adhesives and wet adhesives. Finally, the shortcomings of the existing bionic adhesion systems and future trends are summarized.

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Section: Discussionmentioning

confidence: 99%

Bionic Adhesion Systems: From Natural Design to Artificial Application

Qin,

Zhang,

Tan

et al. 2023

Adv Materials Technologies

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“…In addition to the MEA, bipolar electrodes can also be used to apply electrical stimulation to the in vitro BNN [ 64 ]. Compared to the MEA, bipolar electrodes can apply local extracellular stimulation in a larger area of stimulation and in a more flexible manner, but the number of channels that can simultaneously apply stimulation is limited [ 65 ]. The patch–clamp technique, which uses a micropipette to interact with the neuron, can also be used to apply electrical stimulation in a more precise manner [ 66 ].…”

Section: Methods For Connecting Bnns With Robots Bidirectionallymentioning

confidence: 99%

An Overview of In Vitro Biological Neural Networks for Robot Intelligence

et al. 2023

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In vitro biological neural networks (BNNs) interconnected with robots, so-called BNN-based neurorobotic systems, can interact with the external world, so that they can present some preliminary intelligent behaviors, including learning, memory, robot control, etc. This work aims to provide a comprehensive overview of the intelligent behaviors presented by the BNN-based neurorobotic systems, with a particular focus on those related to robot intelligence. In this work, we first introduce the necessary biological background to understand the 2 characteristics of the BNNs: nonlinear computing capacity and network plasticity. Then, we describe the typical architecture of the BNN-based neurorobotic systems and outline the mainstream techniques to realize such an architecture from 2 aspects: from robots to BNNs and from BNNs to robots. Next, we separate the intelligent behaviors into 2 parts according to whether they rely solely on the computing capacity (computing capacity-dependent) or depend also on the network plasticity (network plasticity-dependent), which are then expounded respectively, with a focus on those related to the realization of robot intelligence. Finally, the development trends and challenges of the BNN-based neurorobotic systems are discussed.

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“…Finally, living cell-driven biohybrid robots needs to be driven by an externally stimulating electric field and survive in the culture medium. [136,137] difficult to conduct experiments outside the laboratory with short notice. However, muscle cells are capable of actuation, sensing, and intelligence.…”

Section: Skeletal Muscle Actuationmentioning

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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A Manta Ray-Inspired Biosyncretic Robot with Stable Controllability by Dynamic Electric Stimulation

Cited by 35 publications

References 59 publications

Bionic Adhesion Systems: From Natural Design to Artificial Application

Bionic Adhesion Systems: From Natural Design to Artificial Application

An Overview of In Vitro Biological Neural Networks for Robot Intelligence

Soft Underwater Swimming Robots Based on Artificial Muscle

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