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Control in Robotics and Automation: Sensor Based Integration (Engineering) [Hardcover]

Bijoy K. Ghosh (Author), T. J. Tarn (Author), Ning Xi (Author)


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Book Description

April 7, 1999 0122818458 978-0122818455 1st
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.


* 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

Editorial Reviews

From the Back Cover

Control in Robotics and Automation has been written to meet the rapidly growing need for sensor-based integration to solve problems in the control and planning of robotic systems. Applications of these control methods range from assembly tasks in industrial automation to material handling in hazardous environments and servicing tasks in space. Many advances in a wide range of new applications in robotics and automation will depend on methods presented in this book, including robot-assisted surgery, space exploration, and micro-fabrication.

In order to meet the challenges of developing and refining new applications, emphasis is placed on the importance of creating planning and control systems that will integrate a variety of sensory information and human knowledge in order to efficiently carry out a task-with or without human intervention. Control in Robotics and Automation: Sensor-Based Integration stresses that the structure of the sensing, planning, and control system, as well as the computer architecture, is to be designed for a large number of tasks rather than for a specific task.

The new robotic technology introduced in this book integrates planning and control based on prior knowledge, with real-time sensory information. A new task-oriented approach introduces an event-based method for system design, together with task planning and 3-D modeling, in the execution of remote operations. In the realm of autonomous control, the authors introduce visually guided control systems and study the role of computer vision in autonomously guiding a robot system.

Product Details

  • Hardcover: 428 pages
  • Publisher: Academic Press; 1st edition (April 7, 1999)
  • Language: English
  • ISBN-10: 0122818458
  • ISBN-13: 978-0122818455
  • Product Dimensions: 10.4 x 7.3 x 1.2 inches
  • Shipping Weight: 2.8 pounds
  • Amazon Best Sellers Rank: #1,801,412 in Books (See Top 100 in Books)

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Inside This Book (learn more)
First Sentence:
There is growing interest in the development of intelligent robotic systems. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
error reduction term, force resolvability, vision resolvability, motion reference variable, basic reactive system, edge confidence map, active deformable model, resolvability ellipsoids, laser range camera, deformahle model, stiff manipulator, rig parameters, disc conveyor, object motion model, pixel interface, linearized controller, visual servo system, ith robot, virtual obstacle, nonlinear feedback control law, hybrid position force control, robot force control, uncertainty ellipsoid, truth facets, illustrative implementation
Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Washington University, Oak Ridge National Laboratory, San Francisco, Department of Energy, Morgan Kaufmann, Motion Tek, Ness York, Yamaguchi University, Academic Press, Jet Propulsion Laboratory, San Diego, Several Remarks
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