
Bionic Sensing with Artificial Lateral Line Systems for Fish-Like Underwater Robots
CRC Press
1st Edition
Published on 23. August 2022
Book
Hardback
198 pages
978-1-032-31616-1 (ISBN)
Description
In this book, the authors first introduce two fish-like underwater robots, including a multiple fins-actuated robotic fish and a caudal fin-actuated robotic fish with a barycenter regulating mechanism. They study how a robotic fish uses its onboard pressure sensor arrays based-ALLS to estimate its trajectory in multiple locomotions, including rectilinear motion, turning motion, ascending motion, and spiral motion. In addition, they also explore the ALLS-based relative position and attitude perception between two robotic fish in a leader-follower formation. Four regression methods-multiple linear regression methods, support vector regressions, back propagation neural networks, and random forest methods-are used to evaluate the relative positions or attitudes using the ALLS data.
The research on ALLS-based local sensing between two adjacent fish robots extends current research from one individual underwater robot to two robots in formation, and will attract increasing attention from scholars of robotics, underwater technology, biomechanics and systems, and control engineering.
The research on ALLS-based local sensing between two adjacent fish robots extends current research from one individual underwater robot to two robots in formation, and will attract increasing attention from scholars of robotics, underwater technology, biomechanics and systems, and control engineering.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
General, Postgraduate, Professional, Professional Practice & Development, Professional Reference, Professional Training, Undergraduate Advanced, and Undergraduate Core
Illustrations
82 s/w Abbildungen, 34 s/w Photographien bzw. Rasterbilder, 48 s/w Zeichnungen, 11 s/w Tabellen
11 Tables, black and white; 48 Line drawings, black and white; 34 Halftones, black and white; 82 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 15 mm
Weight
467 gr
ISBN-13
978-1-032-31616-1 (9781032316161)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Guangming Xie | Xingwen Zheng
Bionic Sensing with Artificial Lateral Line Systems for Fish-Like Underwater Robots
Book
08/2024
1st Edition
CRC Press
€78.17
Shipment within 10-20 days

Guangming Xie | Xingwen Zheng
Bionic Sensing with Artificial Lateral Line Systems for Fish-Like Underwater Robots
E-Book
08/2022
1st Edition
CRC Press
€65.99
Available for download

Guangming Xie | Xingwen Zheng
Bionic Sensing with Artificial Lateral Line Systems for Fish-Like Underwater Robots
E-Book
08/2022
1st Edition
CRC Press
€65.99
Available for download
Persons
Guangming Xie received his B.S. degrees in both Applied Mathematics and Electronic and Computer Technology, his M.E. degree in Control Theory and Control Engineering, and his Ph.D. degree in Control Theory and Control Engineering from Tsinghua University, Beijing, China in 1996, 1998, and 2001, respectively. Then he worked as a postdoctoral research fellow in the Center for Systems and Control, Department of Mechanics and Engineering Science, Peking University, Beijing, China from July 2001 to June 2003. In July 2003, he joined the Center as a lecturer. Now he is a Full Professor of Dynamics and Control in the College of Engineering, Peking University.
Xingwen Zheng received his Ph.D. degree in General Mechanics and Foundation of Mechanics from Peking University in 2020 and his B.E. degree in Mechanical Engineering and Automation from Northeastern University in 2015. Now he is a JSPS post-doctoral fellow at the University of Tokyo.
Xingwen Zheng received his Ph.D. degree in General Mechanics and Foundation of Mechanics from Peking University in 2020 and his B.E. degree in Mechanical Engineering and Automation from Northeastern University in 2015. Now he is a JSPS post-doctoral fellow at the University of Tokyo.
Content
1. Introduction 2. Fish lateral line inspired perception and flow-aided control: a review 3. Boxfish-like robot with an artificial lateral line system 4. Online state estimation of a boxfish-like robot using artificial lateral line system 5. Artificial Lateral Line Based Local Sensing Between Two Adjacent Boxfish-Like Robots 6. Artificial Lateral Line Based Relative State Estimation for Two Adjacent Boxfish-Like Robots 7. Summary