Industrial Robotics: Theory, Modelling and Control

Industrial Robotics: Theory, Modelling and Control

This book covers a wide range of topics relating to advanced industrial robotics, sensors and automation technologies. Although being highly technical and complex in nature, the papers presented in this book represent some of the latest cutting edge technologies and advancements in industrial robotics technology.


This book covers topics such as networking, properties of manipulators, forward and inverse robot arm kinematics, motion path-planning, machine vision and many other practical topics too numerous to list here. The authors and editor of this book wish to inspire people, especially young ones, to get involved with robotic and mechatronic engineering technology and to develop new and exciting practical applications, perhaps using the ideas and concepts presented herein.

Table of Contents

  • Robotic Body-Mind Integration: Next Grand Challenge in Robotics
  • Automatic Modeling for Modular Reconfigurable Robotic Systems: Theory and Practice
  • Kinematic Design and Description of Industrial Robotic Chains
  • Robot Kinematics: Forward and Inverse Kinematics
  • Structure Based Classification and Kinematic Analysis of Six-Joint Industrial Robotic Manipulators
  • Inverse Position Procedure for Manipulators with Rotary Joints
  • Cable-based Robot Manipulators with Translational Degrees of Freedom
  • A Complete Family of Kinematically-Simple Joint Layouts: Layout Models, Associated Displacement Problem Solutions and Applications
  • On the Analysis and Kinematic Design of a Novel 2-DOF Translational Parallel Robot
  • Industrial and Mobile Robot Collision-Free Motion Planning Using Fuzzy Logic Algorithms
  • Trajectory Planning and Control of Industrial Robot Manipulators
  • Collision Free Path Planning for Multi-DoF Manipulators
  • Determination of Location and Path Planning Algorithms for Industrial Robots
  • Homogeneous Approach for Output Feedback Tracking Control of Robot Manipulators
  • Design and Implementation of Fuzzy Control for Industrial Robot
  • Modelling of Parameter and Bound Estimation Laws for Adaptive-Robust Control of Mechanical Manipulators Using Variable Function Approach
  • Soft Computing Based Mobile Manipulator Controller Design
  • Control of Redundant Robotic Manipulators with State Constraints
  • Model-Based Control for Industrial Robots: Uniform Approaches for Serial and Parallel Structures
  • Parallel Manipulators with Lower Mobility
  • Error Modeling and Accuracy of Parallel Industrial Robots
  • Networking Multiple Robots for Cooperative Manipulation
  • Web-Based Remote Manipulation of Parallel Robot in Advanced Manufacturing Systems
  • Human-Robot Interaction Control for Industrial Robot Arm through Software Platform for Agents and Knowledge Management
  • Spatial Vision-Based Control of High-Speed Robot Arms
  • Visual Control System for Robotic Welding
  • Visual Conveyor Tracking in High-Speed Robotics Tasks
  • Visual Feedback Control of a Robot in an Unknown Environment (Learning Control Using Neural Networks)
  • Joystick Teaching System for Industrial Robots Using Fuzzy Compliance Control
  • Forcefree Control for Flexible Motion of Industrial Articulated Robot Arms
  • Predictive Force Control of Robot Manipulators in Nonrigid Environments
  • Friction Compensation in Hybrid Force/Velocity Control for Contour Tracking Tasks
  • Industrial Robot Control System Parametric Design on the Base of Methods for Uncertain Systems Robustness
  • Stochastic Analysis of a System Containing One Robot and (n-1) Standby Safety Units with an Imperfect Switch

Book Details

Author(s): Sam Cubero
Format(s): PDF, HTML
File size: 9.73 MB
Number of pages: 964
Link: Download.

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