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Robotic Welding, Intelligence and Automation

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Cover of 'Robotic Welding, Intelligence and Automation'

Table of Contents

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    Book Overview
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    Chapter 1 Research Evolution on Intelligentized Technologies for Robotic Welding at SJTU
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    Chapter 2 Image Processing for Automated Robotic Welding
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    Chapter 3 Automatic Seam Detection and Path Planning in Robotic Welding
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    Chapter 4 Error Compensation and Calibration of Inter-section Line Welding Robot Based on a Wavelet Neural Network
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    Chapter 5 Autonomous Seam Acquisition and Tracking for Robotic Welding Based on Passive Vision
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    Chapter 6 A Framework of Intelligent Remanufacturing System Based on Robotic Arc Welding
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    Chapter 7 A Fast GPI Line Detection Method for Robot Seam Tracking
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    Chapter 8 Mechanism Design and Kinematics Modeling of Irregular Cross-Section Pipeline Welding Robot
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    Chapter 9 Combined Planning between Welding Pose and Welding Parameters for an Arc Welding Robot
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    Chapter 10 Optimal Digital Filtering for Tremor Suppression in a Master-Slave Robot Remote Welding System
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    Chapter 11 Coordinated Motion of Different Weld Robots Based on User Coordinates
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    Chapter 12 Research on Information Transmission of a Welding Robot Based on Network
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    Chapter 13 Survey on Modeling and Controlling of Welding Robot Systems Based on Multi-agent
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    Chapter 14 Research on the Robotic Arc Welding of a Five-Port Connector
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    Chapter 15 Mixed Logical Dynamical Model for Robotic Welding System
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    Chapter 16 A Method of Seam Tracking Based on Passive Vision
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    Chapter 17 Research on a Trilines Laser Vision Sensor for Seam Tracking in Welding
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    Chapter 18 An Optimal Design of Multifunctional Vision Sensor System for Welding Robot
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    Chapter 19 Wire Extension Control Based on Vision Sensing in Pulsed MIG Welding of Aluminum Alloy
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    Chapter 20 Research on Track Fitting of Big Frame Intersection Line Seams
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    Chapter 21 A Hybrid Approach for Robust Corner Matching
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    Chapter 22 Depth Extraction by Simplified Binocular Vision
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    Chapter 23 Comparison of Calibration Methods for Image Center
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    Chapter 24 Seam Tracking and Dynamic Process Control for High Precision Arc Welding
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    Chapter 25 Feature Selection of Arc Acoustic Signals Used for Penetration Monitoring
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    Chapter 26 Rough Set-Based Model for Penetration Control of GTAW
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    Chapter 27 A Study of Arc Length in Pulsed GTAW of Aluminum Alloy by Means of Arc Plasma Spectrum Analysis
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    Chapter 28 Arc Sound Recogniting Penetration State Using LPCC Features
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    Chapter 29 Investigation on Acoustic Signals for On-line Monitoring of Welding
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    Chapter 30 A Study on Applications of Multi-sensor Information Fusion in Pulsed-GTAW
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    Chapter 31 Research on Image Process and Tracing of a Welding Robot
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    Chapter 32 Predictive Control of Weld Penetration in Pulsed Gas Metal Arc Welding
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    Chapter 33 Study on the MLD Modeling Method of Pulsed GTAW Process for Varied Welding Speed
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    Chapter 34 Simulation of Decoupling Control of Pulsed MIG Welding for Aluminum Alloy
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    Chapter 35 Modeling and Decoupling Control Analysis for Consumable DE-GMAW
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    Chapter 36 The Structure Design and Kinematics Simulation for Rotating Arc Sensor of TIG Welding Based on Pro/E 3D Design
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    Chapter 37 Knowledge Model Building about a Motor Speed Regulation Fuzzy Control System
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    Chapter 38 Research on Surface Recover of Aluminum Alloy PGTAW Pool Based on SFS
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    Chapter 39 Research on Fuzzy-Prediction-Control of GTAW Process Based on MLD Modeling
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    Chapter 40 Application of Fuzzy Edge Detection in Weld Seam Tracking System
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    Chapter 41 Application and Research of Arc Welding Automation in Korea
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    Chapter 42 Offline Programming for a Complex Welding System Using DELMIA Automation
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    Chapter 43 Robot Path Planning in Multi-pass Weaving Welding for Thick Plates
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    Chapter 44 Influence of the Bar Shape on the Welding Quality of Friction Hydro Pillar Processing
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    Chapter 45 Interference Analysis of Infrared Temperature Measurement in Hybrid Welding
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    Chapter 46 Preliminary Investigation on Embedding FBG Fibre within AA6061 Matrices by Ultrasonic Welding
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    Chapter 47 Thermal Process Analysis in Welding Prototyping of Metal Structures
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    Chapter 48 Study on Sub-sea Pipelines Hyperbaric Welding Repair under High Air Pressures
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    Chapter 49 The Mechanism Design of a Wheeled Climbing Welding Robot with Passing Obstacles Capability
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    Chapter 50 Anytime Ant System for Manipulator Path Planning
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    Chapter 51 Path Planning and Computer Simulation of a Mobile Welding Robot
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    Chapter 52 The Control System Design of a Climbing Welding Robot Based on CAN Bus
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    Chapter 53 An Implementation of Seamless Human-Robot Interaction for Pipeline Welding Telerobotics
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    Chapter 54 Design and Experiment of a Novel Portable All-Position Welding Robot
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    Chapter 55 The Power and Propulsion of Medical Microrobots
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    Chapter 56 Mechanical Design and Analysis of an Articulated-Tracked Robot for Pipe Inspection
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    Chapter 57 A Construction Method of Rational Approximation Model for Fractional Calculus Operators in Frequency Domain
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    Chapter 58 Research of Direct Discretization Method of Fractional Order Differentiator/Integrator Based on Rational Function Approximation
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    Chapter 59 Blind Source Separation of Vibration Signal of Electric Motor Velocity Modulation System
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    Chapter 60 A Survey on Artificial Intelligence Algorithm for Distribution Network Reconfiguration
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Mentioned by

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1 patent

Citations

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15 Dimensions

Readers on

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3 Mendeley
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4 CiteULike
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Title
Robotic Welding, Intelligence and Automation
Published by
Springer Berlin Heidelberg, April 2011
DOI 10.1007/978-3-642-19959-2
ISBNs
978-3-64-219958-5, 978-3-64-219959-2
Editors

Tarn, Tzyh-Jong, Chen, Shan-Ben, Fang, Gu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Engineering 2 67%
Computer Science 1 33%