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Aquatic locomotion

About: Aquatic locomotion is a research topic. Over the lifetime, 69 publications have been published within this topic receiving 3796 citations. The topic is also known as: swim & active swimming.


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Book ChapterDOI
01 Jan 2009
TL;DR: A good review of fish swimming modes targeted at roboticists interested in aquatic locomotion calls for the exploration of unique locomotion characteristics found in a variety of fish for use in underwater robots.
Abstract: In order to improve the performance of AUVs in terms of efficiency and maneuverability, researchers have proposed biomimetic propulsion systems that swim using flapping fins rather than rotary propellers. This calls for the exploration of unique locomotion characteristics found in a variety of fish for use in underwater robots. (Sfakiotakis et. al., 1999) present a good review of fish swimming modes targeted at roboticists interested in aquatic locomotion. A classification scheme of fish locomotion mechanisms, originally presented in (Lindsey, 2006) and was modified in (Colgate & Lynch, 2004), is shown in Fig. 1. The three main swimming styles are characterized by undulatory body motion, undulatory fin motion, and oscillatory fin motion. A more traditional classification is one proposed by Breder (Breder, 1926) that broadly identifies two styles of swimming: one is Body and/or Caudal Fin (BCF) locomotion, and the other is Median and/or Paired Fin (BMP) locomotion. Fish classes that use varying degrees of body undulation and/or caudal fin oscillations for thrust generation are examples of BCF swimming, and fish that use paired fins like the left and right pectoral fins, dorsal, and ventral pelvic fins for thrust generation are classified under the MPF swimming style.

5 citations

Journal ArticleDOI
TL;DR: In this paper, it was shown that a fish with bounded aquatic locomotion speed can reach any point in the ocean if the fluid velocity is incompressible, bounded, and has small mean drift.
Abstract: As avid anglers we were always interested in the survival chances of fish in turbulent oceans. This paper addresses this question mathematically. We show that a fish with bounded aquatic locomotion speed can reach any point in the ocean if the fluid velocity is incompressible, bounded, and has small mean drift.

5 citations

Journal Article
TL;DR: In this article, the authors discuss the fluid mechanics governing the locomotion of fishes and discuss the typical classification of their swimming modes based on the fraction of their body that undergoes such undulatory motions.
Abstract: | There exist a huge range of fish species besides other aquatic organisms like squids and salps that locomote in water at large Reynolds numbers, a regime of flow where inertial forces dominate viscous forces. In the present review, we discuss the fluid mechanics governing the locomotion of such organisms. Most fishes propel themselves by periodic undulatory motions of the body and tail, and the typical classification of their swimming modes is based on the fraction of their body that undergoes such undulatory motions. In the angulliform mode, or the eel type, the entire body undergoes undulatory motions in the form of a travelling wave that goes from head to tail, while in the other extreme case, the thunniform mode, only the rear tail (caudal fin) undergoes lateral oscillations. The thunniform mode of swimming is essentially based on the lift force generated by the airfoil like crosssection of the fish tail as it moves laterally through the water, while the anguilliform mode may be understood using the “reactive theory” of Lighthill. In pulsed jet propulsion, adopted by squids and salps, there are two components to the thrust; the first due to the familiar ejection of momentum and the other due to an over-pressure at the exit plane caused by the unsteadiness of the jet. The flow immediately downstream of the body in all three modes consists of vortex rings; the differentiating point being the vastly different orientations of the vortex rings. However, since all the bodies are self-propelling, the thrust force must be equal to the drag force (at steady speed), implying no net force on the body, and hence the wake or flow downstream must be momentumless. For such bodies, where there is no net force, it is difficult to directly define a propulsion efficiency, although it is possible to use some other very different measures like “cost of transportation” to broadly judge performance.

5 citations

01 Jan 1999
TL;DR: In this article, the authors compared rates of oxygen consumption for the Australian water rat (Hydromys chrysogaster) using different locomotor behaviors: swimming and running, and found that swimming metabolic rate increased with velocity in a pattern similar to the humps and hollows for wave drag experienced by bodies moving at the water surface.
Abstract: Semi-aquatic mammals occupy a precarious evolutionary position, having to function in both aquatic and terrestrial environments without specializing in locomotor performance in either environment. To examine possible energetic constraints on semi-aquatic mammals, we compared rates of oxygen consumption for the Australian water rat (Hydromys chrysogaster) using different locomotor behaviors: swimming and running. Aquatic locomotion was investigated as animals swam in a water flume at several speeds, whereas water rats were run on a treadmill to measure metabolic effort during terrestrial locomotion. Water rats swam at the surface using alternate pelvic paddling and locomoted on the treadmill using gaits that included walk, trot and halfbound. Water rats were able to run at twice their maximum swimming velocity. Swimming metabolic rate increased with velocity in a pattern similar to the ‘humps’ and ‘hollows’ for wave drag experienced by bodies moving at the water surface. Metabolic rate increased linearly during running. Over equivalent velocities, the metabolic rate for running was 13‐40 % greater than for swimming. The minimum cost of transport for swimming (2.61 J N -1 m -1 ) was equivalent to values for other semi-aquatic mammals. The lowest cost for running (2.08 J N -1 m -1 ) was 20 % lower than for swimming. When compared with specialists at the extremes of the terrestrial‐aquatic continuum, the energetic costs of locomoting either in water or on land were high for the semi-aquatic Hydromys chrysogaster. However, the relative costs for H. chrysogaster were lower than when an aquatic specialist attempts to move on land or a terrestrial specialist attempts to swim. Summary

4 citations

Journal ArticleDOI
30 Nov 2012
TL;DR: In this article, the authors analyzed swimming motions of living swimming organisms in nature for applying them into the swimming motion of a robot leg and found considerable similarity in the result of trajectory and joint angles comparison.
Abstract: In these days, researches about underwater robots have been actively in progress for the purposes of ocean detection and resource exploration. Unlike general underwater robots such as ROV(Remotely Operated Vehicle) and AUV(Autonomous Underwater Vehicle) which have propellers, an articulated underwater robot which is called Crabster has been being developed in KORDI(Korea Ocean Research & Development Institute) with many cooperation organizations since 2010. The robot is expected to be able to walk and swim under the sea with its legs. Among many researching fields of this project, we are focusing on a swimming section. In order to find effective swimming locomotion for the robot, we approached this subject in terms of Biomimetics. As a model of optimized swimming organism in nature, diving beetles were chosen. In the paper, swimming motions of diving beetles were analyzed in viewpoint of robotics for applying them into the swimming motion of the robot. After modeling the kinematics of diving beetle through robotics engineering technique, we obtained swimming patterns of the one of living diving beetles, and then compared them with calculated optimal swimming patterns of a robot leg. As the first trial to compare the locomotion data of legs of the diving beetle with a robot leg, we have sorted two representative swimming patterns such as forwarding and turning. Experimental environment has been set up to get the motion data of diving beetles. The experimental equipment consists of a transparent aquarium and a high speed camera. Various swimming motions of diving beetles were recorded with the camera. After classifying swimming patterns of the diving beetle, we can get angular data of each joint on hind legs by image processing software, Image J. The data were applied to an optimized algorithm for swimming of a robot leg which was designed by robotics engineering technique. Through this procedure, simulated results which show trajectories of a robot leg were compared with trajectories of a leg of a diving beetle in desired directions. As a result, we confirmed considerable similarity in the result of trajectory and joint angles comparison.

4 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20217
20201
20194
20183
20173
20166