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Bioinspired Sensing, Actuation, and Control in Underwater Soft Robotic Systems

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Cover of 'Bioinspired Sensing, Actuation, and Control in Underwater Soft Robotic Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Bioinspired Shape-Changing Soft Robots for Underwater Locomotion: Actuation and Optimization for Crawling and Swimming
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    Chapter 3 Amphibious Robotic Propulsive Mechanisms: Current Technologies and Open Challenges
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    Chapter 4 Artificial Muscles for Underwater Soft Robotic System
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    Chapter 5 Bioinspired Sensors and Actuators Based on Stimuli-Responsive Hydrogels for Underwater Soft Robotics
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    Chapter 6 Ionic Polymer-Metal Composite (IPMC) Artificial Muscles in Underwater Environments: Review of Actuation, Sensing, Controls, and Applications to Soft Robotics
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    Chapter 7 Design and Analysis of Electrohydraulic Systems for Underwater Systems Utilizing Fluidic Artificial Muscle Actuators
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    Chapter 8 A Soft Robotic Model to Study the Effects of Stiffness on Fish-Like Undulatory Swimming
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    Chapter 10 Control and Functionality of Octopus Arms and Suckers
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    Chapter 11 Octopus-Inspired Arm Movements
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    Chapter 12 Decentralized Estimation and Control of a Soft Robotic Arm
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    Chapter 13 Modeling Soft Swimming Robots using Discrete Elastic Rod Method
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    Chapter 14 Distributed Control of a Planar Discrete Elastic Rod for Eel-Inspired Underwater Locomotion
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    Chapter 15 Bioinspired Neural-Based Control of Flexible Fish-Like Propulsors
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Title
Bioinspired Sensing, Actuation, and Control in Underwater Soft Robotic Systems
Published by
Springer International Publishing, January 2021
DOI 10.1007/978-3-030-50476-2
ISBNs
978-3-03-050475-5, 978-3-03-050476-2
Editors

Paley, Derek A., Wereley, Norman M.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Student > Bachelor 7 12%
Student > Master 6 10%
Student > Doctoral Student 5 9%
Researcher 4 7%
Other 4 7%
Unknown 19 33%
Readers by discipline Count As %
Engineering 25 43%
Materials Science 6 10%
Chemistry 3 5%
Agricultural and Biological Sciences 1 2%
Computer Science 1 2%
Other 5 9%
Unknown 17 29%