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Author : G. T. McKee
Publisher : Society of Photo Optical
ISBN 13 : 9780819442994
Total Pages : 250 pages
Book Rating : 4.92/5 ( download)
Download or read book Sensor Fusion and Decentralized Control in Robotic Systems IV written by G. T. McKee and published by Society of Photo Optical. This book was released on 2001 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 272 pages
Book Rating : 4.87/5 ( download)
Download or read book Sensor Fusion and Decentralized Control in Robotic Systems written by and published by . This book was released on 2001 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : G. T. McKee
Publisher : SPIE-International Society for Optical Engineering
ISBN 13 :
Total Pages : 352 pages
Book Rating : 4.09/5 ( download)
Download or read book Sensor Fusion and Decentralized Control in Robotic Systems II written by G. T. McKee and published by SPIE-International Society for Optical Engineering. This book was released on 1999 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents a series of papers examining various aspects of sensor fusion and decentralized control in robotic systems.
Author : G. T. McKee
Publisher : Society of Photo Optical
ISBN 13 : 9780819438614
Total Pages : 486 pages
Book Rating : 4.18/5 ( download)
Download or read book Sensor Fusion and Decentralized Control in Robotic Systems III written by G. T. McKee and published by Society of Photo Optical. This book was released on 2000 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Paul S. Schenker
Publisher : SPIE-International Society for Optical Engineering
ISBN 13 : 9780819429841
Total Pages : 288 pages
Book Rating : 4.48/5 ( download)
Download or read book Sensor Fusion and Decentralized Control in Robotic Systems written by Paul S. Schenker and published by SPIE-International Society for Optical Engineering. This book was released on 1998 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text brings together 28 papers examining sensor fusion and decentralized control in robotic systems. They cover multiagent and heirarchical architectures, sensor-fused navigation and perception, interfaces for augmented reality and action selection.
Author : Paul S. Schenker
Publisher : SPIE-International Society for Optical Engineering
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.27/5 ( download)
Download or read book Sensor Fusion and Decentralized Control in Autonomous Robotic Systems written by Paul S. Schenker and published by SPIE-International Society for Optical Engineering. This book was released on 1997 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Arthur G.O. Mutambara
Publisher : Routledge
ISBN 13 : 1351456490
Total Pages : 252 pages
Book Rating : 4.94/5 ( download)
Download or read book Decentralized Estimation and Control for Multisensor Systems written by Arthur G.O. Mutambara and published by Routledge. This book was released on 2019-05-20 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decentralized Estimation and Control for Multisensor Systems explores the problem of developing scalable, decentralized estimation and control algorithms for linear and nonlinear multisensor systems. Such algorithms have extensive applications in modular robotics and complex or large scale systems, including the Mars Rover, the Mir station, and Space Shuttle Columbia. Most existing algorithms use some form of hierarchical or centralized structure for data gathering and processing. In contrast, in a fully decentralized system, all information is processed locally. A decentralized data fusion system includes a network of sensor nodes - each with its own processing facility, which together do not require any central processing or central communication facility. Only node-to-node communication and local system knowledge are permitted. Algorithms for decentralized data fusion systems based on the linear information filter have been developed, obtaining decentrally the same results as those in a conventional centralized data fusion system. However, these algorithms are limited, indicating that existing decentralized data fusion algorithms have limited scalability and are wasteful of communications and computation resources. Decentralized Estimation and Control for Multisensor Systems aims to remove current limitations in decentralized data fusion algorithms and to extend the decentralized principle to problems involving local control and actuation. The text discusses: Generalizing the linear Information filter to the problem of estimation for nonlinear systems Developing a decentralized form of the algorithm Solving the problem of fully connected topologies by using generalized model distribution where the nodal system involves only locally relevant states Reducing computational requirements by using smaller local model sizes Defining internodal communication Developing estima
Author : L.E. Parker
Publisher : Springer Science & Business Media
ISBN 13 : 4431679197
Total Pages : 478 pages
Book Rating : 4.96/5 ( download)
Download or read book Distributed Autonomous Robotic Systems 4 written by L.E. Parker and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Fifth International Symposium on Distributed Autonomous Robotic Systems (DARS 2000) dealt with new strategies to realize complex, modular, robust, and fault-tolerant robotic systems. Technologies, algorithms, and system architectures for distributed autonomous robotic systems were presented and discussed during the meeting. DARS 2000 was truly an international event, with participants represent ing eleven countries from Europe, Asia, and the Americas. All of the papers in this volume were presented at DARS 2000, and were selected on the basis of peer re views to ensure quality and relevance. These papers have the common goal of con tributing solutions to realize robust and intelligent multirobot systems. The topics of the symposium address a wide range of issues that are important in the development of decentralized robotic systems. These topics include architec tures, communication, biological inspirations, reconfigurable robots, localization, exploration and mapping, distributed sensing, multi robot motion coordination, tar get assignment and tracking, multirobot learning, and cooperative object transport. DARS clearly requires a broad area of interdisciplinary technologies related not only to robotics and computer engineering, but also to biology and psychology. The DARS symposium is the leading established conference on distributed au tonomous systems. The First, Second, and Third International Symposia on Distrib uted Autonomous Robotic Systems (DARS '92, DARS '94, and DARS '96) were held at the Institute of Physical and Chemical Research (RIKEN), Saitama, Japan.
Author : Ramon Garcia-Hernandez
Publisher : Springer
ISBN 13 : 3319533126
Total Pages : 121 pages
Book Rating : 4.24/5 ( download)
Download or read book Decentralized Neural Control: Application to Robotics written by Ramon Garcia-Hernandez and published by Springer. This book was released on 2017-02-05 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a decentralized approach for the identification and control of robotics systems. It also presents recent research in decentralized neural control and includes applications to robotics. Decentralized control is free from difficulties due to complexity in design, debugging, data gathering and storage requirements, making it preferable for interconnected systems. Furthermore, as opposed to the centralized approach, it can be implemented with parallel processors. This approach deals with four decentralized control schemes, which are able to identify the robot dynamics. The training of each neural network is performed on-line using an extended Kalman filter (EKF). The first indirect decentralized control scheme applies the discrete-time block control approach, to formulate a nonlinear sliding manifold. The second direct decentralized neural control scheme is based on the backstepping technique, approximated by a high order neural network. The third control scheme applies a decentralized neural inverse optimal control for stabilization. The fourth decentralized neural inverse optimal control is designed for trajectory tracking. This comprehensive work on decentralized control of robot manipulators and mobile robots is intended for professors, students and professionals wanting to understand and apply advanced knowledge in their field of work.
Author : Bijoy K. Ghosh
Publisher : Elsevier
ISBN 13 : 0080503071
Total Pages : 442 pages
Book Rating : 4.73/5 ( download)
Download or read book Control in Robotics and Automation written by Bijoy K. Ghosh and published by Elsevier. This book was released on 1999-04-09 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
