Control in Robotics and Automation

1st Edition

Sensor Based Integration

Authors: Bijoy Ghosh T. Tarn Ning Xi
Hardcover ISBN: 9780122818455
eBook ISBN: 9780080503073
Imprint: Academic Press
Published Date: 24th March 1999
Page Count: 428
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Table of Contents

Introduction. Sensor Based Planning and Control: An Event Based Approach. Visually Guided Sensing and Control. Observer Based Visual Servoing. Active Deformable Models in Visual Servoing. Visually Guided Tracking and Manipulation. Multiple Sensor Fusion in Planning and Control. Complimentary Sensor Fusion in Robotic Manipulation. Feedback Control With Force and Visual Sensor Fusion. Sensor Referenced Impact Control in Robotics. System Integration, Modeling and Controller Design. A Modular Approach to Sensor Integration. Dynamics and Control of a Robotic System Using Non-Linear Electrical Circuits. Sensor Based Control and Planning in Telerobotics. Application. Automated Integration of Multiple Sensors. Robotics with Perception and Action Nets. A Fuzzy Behaviorist Approach to Sensor Based Reasoning and Robot Navigation.

Description

Microcomputer technology and micromechanical design have contributed to recent rapid advances in Robotics. Particular advances have been made in sensor technology that allow robotic systems to gather data and react "intelligently" in flexible manufacturing systems. The analysis and recording of the data are vital to controlling the robot. In order to solve problems in control and planning for a Robotic system it is necessary to meet the growing need for the integration of sensors in to the system. Control in Robotics and Automation addresses this need. This book covers integration planning and control based on prior knowledge and real-time sensory information. A new task-oriented approach to sensing, planning and control introduces an event-based method for system design together with task planning and three dimensional modeling in the execution of remote operations. Typical remote systems are teleoperated and provide work efficiencies that are on the order of ten times slower than what is directly achievable by humans. Consequently, the effective integration of automation into teleoperated remote systems offers potential to improve remote system work efficiency. The authors introduce visually guided control systems and study the role of computer vision in autonomously guiding a robot system.

Key Features

@bul:* Sensor-Based Planning and Control in an Event-Based Approach

  • Visually Guided Sensing and Control
  • Multiple Sensor Fuson in Planning and Control
  • System Integration and Implementation
  • Practical Applications

Readership

Electrical and mechanical engineers in control, robotics, and automation; industrial and systems engineers.


Details

No. of pages:
428
Language:
English
Copyright:
© Academic Press 1999
Published:
Imprint:
Academic Press
eBook ISBN:
9780080503073
Hardcover ISBN:
9780122818455

Reviews

Microcomputer technology and micromechanical design have contributed to recent rapid advances in Robotics. Particular advances have been made in sensor technology that allow robotic systems to gather data and react "intelligently" in flexible manufacturing systems. The analysis and recording of the data are vital to controlling the robot. In order to solve problems in control and planning for a Robotic system it is necessary to meet the growing need for the integration of sensors in to the system. Control in Robotics and Automation addresses this need. This book covers integration planning and control based on prior knowledge and real-time sensory information. A new task-oriented approach to sensing, planning and control introduces an event-based method for system design together with task planning and three dimensional modeling in the execution of remote operations. Typical remote systems are teleoperated and provide work efficiencies that are on the order of ten times slower than what is directly achievable by humans. Consequently, the effective integration of automation into teleoperated remote systems offers potential to improve remote system work efficiency. The authors introduce visually guided control systems and study the role of computer vision in autonomously guiding a robot system.


About the Authors

Bijoy Ghosh Author

Affiliations and Expertise

Washington University, St. Louis, Missouri, U.S.A.

T. Tarn Author

Affiliations and Expertise

Washington University, St. Louis, Missouri, U.S.A.

Ning Xi Author

Affiliations and Expertise

Michigan State University, East Lansing, U.S.A.