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Advanced Topics on Computer Vision, Control and Robotics in Mechatronics

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Cover of 'Advanced Topics on Computer Vision, Control and Robotics in Mechatronics'

Table of Contents

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    Book Overview
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    Chapter 1 Denoising of Ultrasound Medical Images Using the DM6437 High-Performance Digital Media Processor
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    Chapter 2 Morphological Neural Networks with Dendritic Processing for Pattern Classification
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    Chapter 3 Mobile Augmented Reality Prototype for the Manufacturing of an All-Terrain Vehicle
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    Chapter 4 Feature Selection for Pattern Recognition: Upcoming Challenges
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    Chapter 5 Overview of Super-resolution Techniques
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    Chapter 6 Learning in Biologically Inspired Neural Networks for Robot Control
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    Chapter 7 Force and Position Fuzzy Control: A Case Study in a Mitsubishi PA10-7CE Robot Arm
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    Chapter 8 Modeling and Motion Control of the 6-3- P US-Type Hexapod Parallel Mechanism
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    Chapter 9 A Finite-Time Nonlinear PID Set-Point Controller for a Parallel Manipulator
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    Chapter 10 Robust Control of a 3-DOF Helicopter with Input Dead-Zone
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    Chapter 11 Mechatronic Integral Ankle Rehabilitation System: Ankle Rehabilitation Robot, Serious Game, and Facial Expression Recognition System
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    Chapter 12 Cognitive Robotics: The New Challenges in Artificial Intelligence
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    Chapter 13 Applications of Haptic Systems in Virtual Environments: A Brief Review
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    Chapter 14 Experimental Analysis of a 3-DOF Articulated Flat Empennage
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    Chapter 15 Consensus Strategy Applied to Differential Mobile Robots with Regulation Control and Trajectory Tracking
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Title
Advanced Topics on Computer Vision, Control and Robotics in Mechatronics
Published by
Springer International Publishing, May 2018
DOI 10.1007/978-3-319-77770-2
ISBNs
978-3-31-977769-6, 978-3-31-977770-2
Editors

Vergara Villegas, Osslan Osiris, Nandayapa , Manuel , Soto , Israel

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 20%
Researcher 5 17%
Student > Ph. D. Student 4 13%
Lecturer 3 10%
Student > Doctoral Student 3 10%
Other 4 13%
Unknown 5 17%
Readers by discipline Count As %
Engineering 13 43%
Computer Science 6 20%
Neuroscience 2 7%
Business, Management and Accounting 1 3%
Physics and Astronomy 1 3%
Other 0 0%
Unknown 7 23%