Underwater source localization using an IPMC-based artificial lateral line

Abdulsadda, Ahmad T.; Tan, Xiaobo

doi:10.1109/icra.2011.5980545

Cited by 41 publications

(52 citation statements)

References 27 publications

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“…For example, they can construct a 3D view of underwater environment, rather than just having a means for velocity measurement. Some processing algorithms are developed, such as an algorithm based on the maximum likelihood estimator , an algorithm applying the adaptive beam-forming technique Nguyen et al 2008Nguyen et al , 2011Dagamseh et al 2011) and an algorithm based on artificial neural network (Abdulsadda et al 2011). Although various efforts exist, our knowledges about information processing in biological lateral line sensor systems are still limited and Object ALLFS further researches involving biology and neuroscience are still required to unveil the mystery.…”

Section: Information Processing Of Allfsmentioning

confidence: 99%

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Underwater artificial lateral line flow sensors

Tan

2014

Microsyst Technol

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on. However, there are limitations of these technologies. For example, acoustic sensor suffers from scattering and multipath propagation issues. Optic sensor cannot propagate well in water and is limited by the turbidity of the sea water. Both sensors are not suitable for forming distributed arrays. Because of these limitations, many researchers are trying to study some new alternative sensors which are inspired from biological sensing abilities, such as lateral line organ of fish. Fishes live in a fluid environment, therefore it is not surprising that fishes have developed abilities which affect numerous aspects of behaviors including maneuvering in complex fluid environments (Van Trump and McHenry 2008; Mogdans and Bleckmann 2012), schooling (Pitcher et al. 1976), prey tracking (Pohlmann et al. 2004), rheotaxis (Gardiner and Atema 2007), courtship and communication (Coombs and Braun 2003). It is known that the lateral line is a critical component of the fish sensory system and found in most fishes and some other aquatic organisms. For example, Mexican blind fish relies on the lateral line system to navigate. The lateral line plays an important role in many behaviors by providing hydrodynamic information about the surrounding fluid. The fishes use lateral line sensors to monitor surrounding flow field for maneuvering and survival underwater. This is why researchers have developed ALLFS for underwater flow sensing applications.In the following, this paper surveys the works done in investigating morphology and biophysics of the lateral line of fish, such as theoretical models of the lateral line of fish which are foundation for design ALLFS for underwater flow sensing. Also, this paper reviews the status of ALLFS and underwater applications. Finally, this paper intends to discuss the existing problems and the future trends of ALLFS.Abstract Biomimetics is a promising field of research in which natural processes and structures are transferred to technical applications. The lateral line is a critical component of the fish sensory system and plays an important role in many behaviors by providing hydrodynamic information about the surrounding fluid. It is believed that the artificial lateral line flow sensors (ALLFS) are advantageous for underwater applications. This paper reviews the morphology and biophysics of the lateral line, especially theoretical models of lateral line, including biomechanical model, frequency response and time domain response of lateral line. Also, this paper reviews some efforts to mimic lateral line system in recent years. In order to capture the recent research status, this paper reviews the design and fabrication of ALLFS based on different sensing principles. Further researches to develop ALLFS and their underwater applications are also discussed in this paper.

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Section: Information Processing Of Allfsmentioning

confidence: 99%

“…A novel bio-inspired artificial lateral line system is achieved by exploiting the inherent sensing capability of ionic polymer-metal composites (IPMCs) (Abdulsadda et al 2011(Abdulsadda et al , 2012 which is shown in Fig. 14b.…”

Section: Piezoelectric and Magnetic Allfsmentioning

confidence: 99%

Underwater artificial lateral line flow sensors

Tan

2014

Microsyst Technol

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“…We assume that the presence of sensors has negligible effect on the flow distribution as characterized in (2), and that each sensor is able to provide a noisy measurement of the local flow velocity v along the x−direction. The latter consideration is motivated by that most beam-like flow sensors (e.g., the IPMC lateral line sensors [10], [12]) can only sense one component of the flow velocity. In the absence of noise, from (2), we get…”

Section: Problem Formulationmentioning

confidence: 99%

“…Reported signal processing schemes have included exploitation of the characteristic points (e.g., zero-crossings, maxima, etc.) in the measured velocity profile [8], matching of the measured data with pre-obtained templates [11], beamforming techniques [7], and artificial neural networks [10]. Most existing work deals with a dipole source that has fixed vibration amplitude and orientation.…”

Section: Introductionmentioning

confidence: 99%

Artificial lateral line-based localization of a dipole source with unknown vibration amplitude and direction

Abdulsadda

Tan

2011

2011 15th International Conference on Advanced Robotics (ICAR)

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The lateral line system is an important sensory organ for fish and many aquatic amphibians, allowing them to detect predators/prey, perform rheotaxis, and coordinate schooling. There is an increasing interest in developing artificial lateral line systems, consisting of arrays of flow sensors, for underwater vehicles and robots. In this paper we consider the problem of localizing a vibrating sphere, also known as a dipole source, using an artificial lateral line system. Dipole sources emulate the movement of fish fins and are often used in the study of biological lateral lines. We assume that the location, vibration amplitude, and vibration direction of the dipole sources are all unknown. A nonlinear estimation problem is formulated based on the analytical model for dipolegenerated flow field. We present two recursive algorithms for source localization, the first obtained by linearizing the original nonlinear estimation problem, and the other by solving the equations corresponding to the first-order optimality condition. Simulation results are presented to illustrate the effectiveness of the proposed approaches.

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“…96 The curvature-sensing mechanism can also perform a scanning motion by using the electrically controlled IPMC actuator. Recently, Abdulsadda and Tan 97 reported an artificial lateral line, shown in Figure 12, based on the sensing capability of IPMCs. IPMCs are suitable for developing artificial lateral lines for several reasons.…”

Section: Ipmc Applications As Sensormentioning

confidence: 99%

Ionic polymer–metal composite applications

HaqMazhar

GangZhao

2016

Emerging Materials Research

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In this paper, the authors present a comprehensive review of ionic polymer-metal composites (IPMCs) covering their fundamentals, fabrication processes, characterization and applications. IPMCs are becoming increasingly popular among scholars, engineers and scientists due to their inherent properties of low activation voltage, large bending strain -that is, the transformation of electrical energy to mechanical energy -and properties to be used as a bidirectional material -that is, they can be used as actuators and sensors. Among the diversity of electroactive

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Underwater source localization using an IPMC-based artificial lateral line

Cited by 41 publications

References 27 publications

Underwater artificial lateral line flow sensors

Underwater artificial lateral line flow sensors

Artificial lateral line-based localization of a dipole source with unknown vibration amplitude and direction

Ionic polymer–metal composite applications

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