Robot fish

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Jessiko robot fish on France Pavilion at Yeosu 2012 World Expo Jessiko Robot Fish Yeosu2012.jpg
Jessiko robot fish on France Pavilion at Yeosu 2012 World Expo

A robot fish is a type of bionic robot that has the shape and locomotion of a living fish. Most robot fish are designed to emulate living fish which use body-caudal fin (BCF) propulsion, and can be divided into three categories: single joint (SJ), multi-joint (MJ) and smart material-based "soft-body" design.

Contents

Since the Massachusetts Institute of Technology first published research on them in 1989, there have been more than 400 articles published about robot fish. According to these reports, approximately 40 different types of robot fish have been built, with 30 designs having only the capability to flip and drift in water. The most important parts of researching and developing robot fish are advancing their control and navigation, enabling them to interact and "communicate" with their environment, making it possible for them to travel along a particular path, and to respond to commands to make their "fins" flap. [1] [2] [3]

Design

The basic biomimetic robotic fish is made up of three parts: a streamlined head, a body, and a tail.

Design inspiration

Eel and fish locomotion Eel and fish locomotion.jpg
Eel and fish locomotion

Engineers often focus on functional design. For example, designers attempt to create robots with flexible bodies (like real fish) that can exhibit undulatory motion. This kind of body enables the robot fish to swim similar to the way live fish swim, which can adapt and process a complicated environment. The first robot fish (MIT's RoboTuna) was designed to mimic the structure and dynamic properties of a Tuna. In an attempt to gain thrust and maneuvering forces, robot fish control systems are capable of controlling the body and caudal fin, giving them a wave-like motion. [5] [6]

In order to control and analyze robotic fish movement, researchers study the shape, dynamic model and lateral movements of the robotic tail. One of the many tail shapes found on robot fish is lunate, or crescent shaped. Some studies show this kind of tail shape increases swimming speeds and creates a high-efficiency robot fish.

The posterior tail creates thrust force, making it one of the most important parts of the robot fish. Living fish have powerful muscles that can generate lateral movements for locomotion while the head remains in a relatively motionless state. Thus, researchers have focused on tail kinematics when developing robot fish motion. [7]

Slender-body theory is often used when studying robot fish locomotion. The mean rate of work of the lateral movements is equal to the sum of the mean rate of work available for producing the mean thrust and the rate of shedding of kinetic energy of lateral fluid motions. The mean thrust can be calculated entirely from the displacement and swimming speed at the trailing edge of the caudal fin. [8] This simple formula is used when calculating the locomotion of both robot and living fish.

Realistic Propulsion Systems can help improve autonomous maneuvering and exhibit a higher level of locomotion performance. A diverse option of fins can be used in the creation of robot fish to achieve this goal. By including pectoral fins, robot fish can perform force vectoring and perform complex swimming behaviors instead of forward swimming only. [9]

Control

Multi-joint robotic fish Robot Fish (4651519523).jpg
Multi-joint robotic fish

The shapes and sizes of fins vary drastically in living fish, but they all help to accomplish a high level of propulsion through the water. In order for robot fish to achieve the same type of rapid and maneuverable propulsion, robot fish need multiple control surfaces. The propulsive performance is related to the position, mobility, and hydrodynamic characteristics of the control surfaces. [10]

The key to controlling a multi-joint robotic fish is creating a simplified mechanism that is able to generate a reasonable amount of control. Designers should consider some important factors, including lateral body motions, kinematic data and anatomical data. When designers mimic a BCF-type robot fish, the link-based body wave of the robot fish must provide motions similar to that of a living fish. This kind of body wave-based swimming control should be discrete and parameterized for a specific swimming gait. Ensuring swimming stability gait can be difficult, and transitioning smoothly between two different gaits can be tricky in robot fish. [11]

A central neural system known as a "Central Pattern Generator" (CPGs) can govern multilink robotic fish locomotion. The CPG is located in every segment, and can connect and stimulate contracting or stretching muscles. The cerebrum, the most anterior part of the brain in vertebrates, can control signal inputs to startup, stop and turn. After the systems form a steady locomotion, the signal from the cerebrum stops and the CPGs can produce and modulate locomotion patterns.[ citation needed ]

Similar to their role in living fish, neural networks are used to control robot fish. There are several key points in the design of bionic neural networks. First, the bionic propeller adopts one servomotor to drive a joint while the fish has two group muscles in each joint. Designers can implement one CPG in each segment to control the corresponding joint. Second, a discrete computational model stimulates the continuous biological tissues. Finally, the connection lag time between neurons determines the intersegmental phase lag. The lag time function in the computational model is necessary. [12]

Uses

Studying fish behavior

Achieving a consistent response is a challenge in animal behavioral studies when live stimuli are used as independent variables. To overcome this challenge, robots can be used as consistent stimuli for testing hypotheses while avoiding large animal training and use. The controllable machines can be made to "look, sound, or even smell" like animals. We can obtain a better perception of animal behavior by turning to robot use in place of live animals because robots can produce a steady response in a set of repeatable actions. Moreover, with various field deployments and a greater degree of independence, robots hold the promise of assisting behavioral studies in the wild. [13] [ self-published source? ]

Toys

A simple robot fish consisting of a flexible visco-elastic body Soft under-actuated fish-like robot.jpg
A simple robot fish consisting of a flexible visco-elastic body

Toy robot fish are the most common robot toys on the market. they are most commonly used for entertainment, although some are used for research. The design of these toys are simple and inexpensive. They are usually divided into two categories: automatic cruise robot fish and controlled movement robot fish. The simplest ones consist of a soft body (MJ), motor (tail) and head (basic electric control element). They use a battery to provide energy for the motor to produce movement and use the remote control systems to achieve the power of steering. In contrast, the complexity of toys and robot fish, with the purpose of research, is almost the same. They are not only fully automated, but can simulate fish behavior. For example, if you put a foreign object in the water with the robot fish, it will produce a movement similar to that of a real fish. It will move away from the foreign object and the speed of swimming will increase. It exhibits a state of shock and confusion to the foreign object much like a real fish would. Robot fish record this type of behavior in advance. [14]

Application on AUV

Military defense and marine protection are of rising concern in the research field. As missions become more complicated, high-performance Autonomous underwater vehicle (AUVs) become necessary. AUVs require fast propulsion and multidirectional maneuverability. Robotic fish are more competent than current AUVs propelled by motion because the fish is a paradigm of bio-inspired AUV. Like living fish, robot fish can operate in complex environments. They can not only perform underwater exploration and discover new species, but they can also salvage and set up underwater facilities. When operating in dangerous environments, robot fish display a heightened performance when compared to other machines. For example, in the coral zone, soft robotic fish can better cope with the environment. Unlike existing AUVs which are non-flexible, robot fish can access narrow caves and tunnels. [15] [16]

Education

Besides their vast potentials for research, robotic fish also show many opportunities to engage students and the general public. Bio-inspired robots are valuable and effective, and can attract students to various areas of science, technology, engineering and math. Robotic fish have been used as auxiliary educational tools all over the world. For example, thousands of youth were attracted to the carp-like robots during a recent exhibit at London Aquarium. Scientists and other researchers have presented various kinds of robotic fish at many outreach programs, including the first and second USA Science and Engineering Festivals, in 2010 and 2012, respectively. At these events, visitors were given the opportunity not only to see the robotic fish in action, but also interacted with the lab members to understand the technology and its applications. [17]

Examples

"Charlie", a robotic catfish built by the CIA RobotFishCharlie.jpg
"Charlie", a robotic catfish built by the CIA


Related Research Articles

<span class="mw-page-title-main">Fin</span> Thin component or appendage attached to a larger body or structure

A fin is a thin component or appendage attached to a larger body or structure. Fins typically function as foils that produce lift or thrust, or provide the ability to steer or stabilize motion while traveling in water, air, or other fluids. Fins are also used to increase surface areas for heat transfer purposes, or simply as ornamentation.

<span class="mw-page-title-main">Animal locomotion</span> Self-propulsion by an animal

In ethology, animal locomotion is any of a variety of methods that animals use to move from one place to another. Some modes of locomotion are (initially) self-propelled, e.g., running, swimming, jumping, flying, hopping, soaring and gliding. There are also many animal species that depend on their environment for transportation, a type of mobility called passive locomotion, e.g., sailing, kiting (spiders), rolling or riding other animals (phoresis).

<span class="mw-page-title-main">Fish locomotion</span> Ways that fish move around

Fish locomotion is the various types of animal locomotion used by fish, principally by swimming. This is achieved in different groups of fish by a variety of mechanisms of propulsion, most often by wave-like lateral flexions of the fish's body and tail in the water, and in various specialised fish by motions of the fins. The major forms of locomotion in fish are:

<span class="mw-page-title-main">Autonomous underwater vehicle</span> Uncrewed underwater vehicle with autonomous guidance system

An autonomous underwater vehicle (AUV) is a robot that travels underwater without requiring continuous input from an operator. AUVs constitute part of a larger group of undersea systems known as unmanned underwater vehicles, a classification that includes non-autonomous remotely operated underwater vehicles (ROVs) – controlled and powered from the surface by an operator/pilot via an umbilical or using remote control. In military applications an AUV is more often referred to as an unmanned undersea vehicle (UUV). Underwater gliders are a subclass of AUVs.

<span class="mw-page-title-main">Underwater glider</span> Type of autonomous underwater vehicle

An underwater glider is a type of autonomous underwater vehicle (AUV) that employs variable-buoyancy propulsion instead of traditional propellers or thrusters. It employs variable buoyancy in a similar way to a profiling float, but unlike a float, which can move only up and down, an underwater glider is fitted with hydrofoils that allow it to glide forward while descending through the water. At a certain depth, the glider switches to positive buoyancy to climb back up and forward, and the cycle is then repeated.

<span class="mw-page-title-main">Remote control animal</span>

Remote control animals are animals that are controlled remotely by humans. Some applications require electrodes to be implanted in the animal's nervous system connected to a receiver which is usually carried on the animal's back. The animals are controlled by the use of radio signals. The electrodes do not move the animal directly, as if controlling a robot; rather, they signal a direction or action desired by the human operator and then stimulate the animal's reward centres if the animal complies. These are sometimes called bio-robots or robo-animals. They can be considered to be cyborgs as they combine electronic devices with an organic life form and hence are sometimes also called cyborg-animals or cyborg-insects.

Bio-mechatronics is an applied interdisciplinary science that aims to integrate biology and mechatronics. It also encompasses the fields of robotics and neuroscience. Biomechatronic devices cover a wide range of applications, from developing prosthetic limbs to engineering solutions concerning respiration, vision, and the cardiovascular system.

<span class="mw-page-title-main">Mobile robot</span> Type of robot

A mobile robot is an automatic machine that is capable of locomotion. Mobile robotics is usually considered to be a subfield of robotics and information engineering.

<span class="mw-page-title-main">Unmanned underwater vehicle</span> Submersible vehicles that can operate underwater without a human occupant

Unmanned underwater vehicles (UUV), also known as uncrewed underwater vehicles and underwater drones, are submersible vehicles that can operate underwater without a human occupant. These vehicles may be divided into two categories: remotely operated underwater vehicles (ROUVs) and autonomous underwater vehicles (AUVs). ROUVs are remotely controlled by a human operator. AUVs are automated and operate independently of direct human input.

<span class="mw-page-title-main">Shark anatomy</span>

Shark anatomy differs from that of bony fish in a variety of ways. Variation observed within shark anatomy is a potential result of speciation and habitat variation.

<span class="mw-page-title-main">Spherical robot</span> Type of mobile robot

A spherical robot, also known as spherical mobile robot, or ball-shaped robot is a mobile robot with spherical external shape. A spherical robot is typically made of a spherical shell serving as the body of the robot and an internal driving unit (IDU) that enables the robot to move. Spherical mobile robots typically move by rolling over surfaces. The rolling motion is commonly performed by changing the robot's center of mass, but there exist some other driving mechanisms. In a wider sense, however, the term "spherical robot" may also be referred to a stationary robot with two rotary joints and one prismatic joint which forms a spherical coordinate system.

<span class="mw-page-title-main">Robotics</span> Design, construction, use, and application of robots

Robotics is the interdisciplinary study and practice of the design, construction, operation, and use of robots.

<span class="mw-page-title-main">Aquatic locomotion</span> Biologically propelled motion through a liquid medium

Aquatic locomotion or swimming is biologically propelled motion through a liquid medium. The simplest propulsive systems are composed of cilia and flagella. Swimming has evolved a number of times in a range of organisms including arthropods, fish, molluscs, amphibians, reptiles, birds, and mammals.

<span class="mw-page-title-main">RoboTuna</span> Investigation into design of autonomous underwater vehicles

The RoboTuna is a robotic fish project involving a series of robotic fish designed and built by a team of scientists at the Massachusetts Institute of Technology (MIT) in the US.

<span class="mw-page-title-main">Tradeoffs for locomotion in air and water</span> Comparison of swimming and flying, evolution and biophysics

Certain species of fish and birds are able to locomote in both air and water, two fluid media with very different properties. A fluid is a particular phase of matter that deforms under shear stresses and includes any type of liquid or gas. Because fluids are easily deformable and move in response to applied forces, efficiently locomoting in a fluid medium presents unique challenges. Specific morphological characteristics are therefore required in animal species that primarily depend on fluidic locomotion. Because the properties of air and water are so different, swimming and flying have very disparate morphological requirements. As a result, despite the large diversity of animals that are capable of flight or swimming, only a limited number of these species have mastered the ability to both fly and swim. These species demonstrate distinct morphological and behavioral tradeoffs associated with transitioning from air to water and water to air.

<span class="mw-page-title-main">Bio-inspired robotics</span>

Bio-inspired robotic locomotion is a subcategory of bio-inspired design. It is about learning concepts from nature and applying them to the design of real-world engineered systems. More specifically, this field is about making robots that are inspired by biological systems, including Biomimicry. Biomimicry is copying from nature while bio-inspired design is learning from nature and making a mechanism that is simpler and more effective than the system observed in nature. Biomimicry has led to the development of a different branch of robotics called soft robotics. The biological systems have been optimized for specific tasks according to their habitat. However, they are multifunctional and are not designed for only one specific functionality. Bio-inspired robotics is about studying biological systems, and looking for the mechanisms that may solve a problem in the engineering field. The designer should then try to simplify and enhance that mechanism for the specific task of interest. Bio-inspired roboticists are usually interested in biosensors, bioactuators, or biomaterials. Most of the robots have some type of locomotion system. Thus, in this article different modes of animal locomotion and few examples of the corresponding bio-inspired robots are introduced.

<span class="mw-page-title-main">Fish fin</span> Bony skin-covered spines or rays protruding from the body of a fish

Fins are moving appendages protruding from the body of fish that interact with water to generate thrust and help the fish swim. Apart from the tail or caudal fin, fish fins have no direct connection with the back bone and are supported only by muscles.

<span class="mw-page-title-main">Soft robotics</span> Subfield of robotics

Soft robotics is a subfield of robotics that concerns the design, control, and fabrication of robots composed of compliant materials, instead of rigid links. In contrast to rigid-bodied robots built from metals, ceramics and hard plastics, the compliance of soft robots can improve their safety when working in close contact with humans.

Batoids are a superorder of cartilaginous fish consisting of skates, rays and other fish all characterized by dorsoventrally flattened bodies and large pectoral fins fused to the head. This distinctive morphology has resulted in several unique forms of locomotion. Most Batoids exhibit median paired fin swimming, utilizing their enlarged pectoral fins. Batoids that exhibit median paired fin swimming fall somewhere along a spectrum of swimming modes from mobuliform to rajiform based on the number of waves present on their fin at once. Of the four orders of Batoidae this holds truest for the Myliobatiformes (rays) and the Rajiformes (skates). The two other orders: Rhinopristiformes and Torpediniformes exhibit a greater degree of body caudal fin swimming.

<span class="mw-page-title-main">Peristaltic robot</span> Peristaltic robot based on earthworm

A peristaltic robot, also known as a worm-bot, is a robot that uses peristaltic locomotion to move, mimicking the movement of earthworms. Peristaltic locomotion relies on compressions and expansions of the metameres, or body segments, of earthworms. This method of movement is especially effective in navigating through narrow and intricate surfaces, making it particularly suitable for small millimeter-scale robots. Peristaltic robots have a wide range of applications, including endoscopy, mining operations, and pipe inspections.

References

  1. Yu, Junzhi; Tan, Min (2015). "Design and Control of a Multi-joint Robotic Fish". In Du, Ruxu; Li, Zheng; Youcef-Toumi, Kamal; Valdivia y Alvarado, Pablo (eds.). Robot Fish: Bio-inspired Fishlike Underwater Robots. Springer Tracts in Mechanical Engineering. pp. 93–117. doi:10.1007/978-3-662-46870-8_4. ISBN   978-3-662-46869-2.
  2. Yu, Junzhi; Wang, Chen; Xie, Guangming (2016). "Coordination of Multiple Robotic Fish with Applications to Underwater Robot Competition". IEEE Transactions on Industrial Electronics. 63 (2): 1280–8. doi:10.1109/TIE.2015.2425359. S2CID   31599369.
  3. Nguyen, Phi Luan; Lee, Byung Ryong; Ahn, Kyoung Kwan (2016). "Thrust and Swimming Speed Analysis of Fish Robot with Non-uniform Flexible Tail". Journal of Bionic Engineering. 13: 73–83. doi:10.1016/S1672-6529(14)60161-X. S2CID   110144051.
  4. Zhang, Daibing; Hu, Dewen; Shen, Lincheng; Xie, Haibin (2008). "Design of an artificial bionic neural network to control fish-robot's locomotion". Neurocomputing. 71 (4–6): 648–54. doi:10.1016/j.neucom.2007.09.007.
  5. Wang, Tianmiao; Wen, Li; Liang, Jianhong; Wu, Guanhao (2010). "Fuzzy Vorticity Control of a Biomimetic Robotic Fish Using a Flapping Lunate Tail". Journal of Bionic Engineering. 7: 56–65. doi:10.1016/S1672-6529(09)60183-9. S2CID   135741678.
  6. Butail, Sachit; Polverino, Giovanni; Phamduy, Paul; Del Sette, Fausto; Porfiri, Maurizio (2014). "Influence of robotic shoal size, configuration, and activity on zebrafish behavior in a free-swimming environment". Behavioural Brain Research. 275: 269–80. doi:10.1016/j.bbr.2014.09.015. PMID   25239605. S2CID   20755024.
  7. Nguyen, Phi Luan; Do, Van Phu; Lee, Byung Ryong (2013). "Dynamic Modeling of a Non-Uniform Flexible Tail for a Robotic Fish". Journal of Bionic Engineering. 10 (2): 201–209. doi:10.1016/S1672-6529(13)60216-4. S2CID   137685845.
  8. Nguyen, Phi Luan; Lee, Byung Ryong; Ahn, Kyoung Kwan (2016). "Thrust and swimming speed analysis of fish robot with non-uniform flexible tail". Journal of Bionic Engineering. 1: 73–83. doi:10.1016/S1672-6529(14)60161-X. S2CID   110144051.
  9. Ravalli, Andrea; Rossi, Claudio; Marrazza, Giovanna (2017). "Bio-inspired fish robot based on chemical sensors". Sensors and Actuators B: Chemical. 239: 325–9. doi:10.1016/j.snb.2016.08.030.
  10. Siddall, R; Kovač, M (2014). "Launching the AquaMAV: Bioinspired design for aerial–aquatic robotic platforms". Bioinspiration & Biomimetics. 9 (3): 031001. Bibcode:2014BiBi....9c1001S. doi:10.1088/1748-3182/9/3/031001. hdl: 10044/1/19963 . PMID   24615533. S2CID   21175991.
  11. Nguyen, Phi Luan; Do, Van Phu; Lee, Byung Ryong (2013). "Dynamic Modeling and Experiment of a Fish Robot with a Flexible Tail Fin". Journal of Bionic Engineering. 10: 39–45. doi:10.1016/S1672-6529(13)60197-3. S2CID   109405322.
  12. Zhang, Daibing. "Design of an artificial bionic neural network to control fish-robot's locomotion". DocSlide.
  13. "RoboTuna". 11 September 2009.
  14. https://www.youtube.com/watch?v=31E8ywyUCrw%5B%5D
  15. Liu, Jindong; Hu, Huosheng (2010). "Biological Inspiration: From Carangiform Fish to Multi-Joint Robotic Fish". Journal of Bionic Engineering. 7: 35–48. CiteSeerX   10.1.1.193.4282 . doi:10.1016/S1672-6529(09)60184-0. S2CID   11802468.
  16. Wen, L; Wang, T M; Wu, G H; Liang, J H (2012). "Hydrodynamic investigation of a self-propelled robotic fish based on a force-feedback control method". Bioinspiration & Biomimetics. 7 (3): 036012. Bibcode:2012BiBi....7c6012W. doi:10.1088/1748-3182/7/3/036012. PMID   22556135. S2CID   6565585.
  17. Wang, Jianxun (2014). Robotic fish: development, modeling, and application to mobile sensing (PhD thesis). Michigan State University. OCLC   921153799.
  18. "Charlie: CIA's Robotic Fish — Central Intelligence Agency". www.cia.gov. Archived from the original on August 16, 2013. Retrieved 12 December 2016.
  19. "Archived copy". Archived from the original on 2016-11-29. Retrieved 2016-12-12.{{cite web}}: CS1 maint: archived copy as title (link)[ full citation needed ]
  20. http://www.robotic-fish.net/index.php?lang=en&id=robots#top%5B%5D
  21. http://www.computerweekly.com/news/2240086124/University-of-Essex-robotic-fish-enter-IET-awards%5B%5D
  22. http://www.robotswim.com/index.php?id=jessiko&id2=projet&lan=en%5B%5D
  23. Chowdhury, Abhra Roy (2014). Modeling and Control of a Bioinspired Robotic Fish Underwater Vehicle Next Generation Underwater Robots (PhD Thesis).[ permanent dead link ]
  24. https://www.telegraph.co.uk/technology/3345303/Robot-koi-carp-designed-to-get-up-close-and-friendly-with-real-fish.html%5B%5D
  25. "High-Speed Robotic Fish | iSplash". isplash-robot. Retrieved 2017-01-07.
  26. "iSplash-II: Realizing Fast Carangiform Swimming to Outperform a Real Fish" (PDF). Robotics Group at Essex University. Archived from the original (PDF) on 2015-09-30. Retrieved 2015-09-29.
  27. "iSplash-I: High Performance Swimming Motion of a Carangiform Robotic Fish with Full-Body Coordination" (PDF). Robotics Group at Essex University. Archived from the original (PDF) on 2015-09-30. Retrieved 2015-09-29.
  28. Combs, Cody. "What's in your seawater? Aquaai's robotic fish have the answers". The National. Retrieved 2024-11-19.
  29. Gunia, Amy (2024-04-22). "These supersized clownfish robots could be coming to waterways in the Middle East | CNN Business". CNN. Retrieved 2024-11-19.