Microprocessors in Robotic and Manufacturing Systems

Microprocessors play a dominant role in computer technology and have contributed uniquely in the development of many new concepts and design techniques for modem industrial systems. This contribution is excessively high in the area of robotic and manufacturing systems. However, it is the editor'...

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Corporate Author: SpringerLink (Online service)
Other Authors: Tzafestas, S.G. (Editor)
Format: eBook
Language:English
Published: Dordrecht Springer Netherlands 1991, 1991
Edition:1st ed. 1991
Series:Intelligent Systems, Control and Automation: Science and Engineering
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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245 0 0 |a Microprocessors in Robotic and Manufacturing Systems  |h Elektronische Ressource  |c edited by S.G. Tzafestas 
250 |a 1st ed. 1991 
260 |a Dordrecht  |b Springer Netherlands  |c 1991, 1991 
300 |a XV, 411 p  |b online resource 
505 0 |a I Robotic Computations -- 1 Computation of Robot Dynamics by a Multiprocessor Scheme -- 2 Automatic Scheduling of the Newton-Euler Inverse Dynamics -- 3 Numerical Applications of DSPs in Robotic Computations -- 4 Parallel Processing of Robot Control and Simulation -- 2 Robotic Control and Vision -- 5 Microprocessor-Based Controllers for Robotic Manipulators -- 6 Design Aspects of a Robot Coordinated by a Desktop Computer -- 7 A PC Simulation Program for Comparing Performances of Robot Control Algorithms -- 8 Collision Strategies for Robot Retreat and Resistance -- 9 A Distributed Control Network for Sensory Robotics -- 10 Neural Networks and Robot Vision -- 3 Manufacturing Systems -- 11 Microprocessors in Data Acquisition Systems for Process Control -- 12 Design and Analysis of a Modular CNC System -- 13 Computer / Programmable Control of a Flexible Manufacturing Cell -- 14 Robot and PLC Support System Based on Fiber Optic Map Network -- 15 Experimental Results of Parameter Identifi 
653 |a Microprogramming  
653 |a Mechatronics 
653 |a Robotics and Automation 
653 |a Control Structures and Microprogramming 
653 |a Electrical Engineering 
653 |a Manufacturing, Machines, Tools, Processes 
653 |a Control, Robotics, Mechatronics 
653 |a Electrical engineering 
653 |a Manufactures 
653 |a Control engineering 
653 |a Robotics 
653 |a Automation 
710 2 |a SpringerLink (Online service) 
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989 |b SBA  |a Springer Book Archives -2004 
490 0 |a Intelligent Systems, Control and Automation: Science and Engineering 
856 |u https://doi.org/10.1007/978-94-011-3812-3?nosfx=y  |x Verlag  |3 Volltext 
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520 |a Microprocessors play a dominant role in computer technology and have contributed uniquely in the development of many new concepts and design techniques for modem industrial systems. This contribution is excessively high in the area of robotic and manufacturing systems. However, it is the editor's feeling that a reference book describing this contribution in a cohesive way and covering the major hardware and software issues is lacking. The purpose of this book is exactly to fill in this gap through the collection and presentation of the experience of a number of experts and professionals working in different academic and industrial environments. The book is divided in three parts. Part 1 involves the first four chapters and deals with the utilization of microprocessors and digital signal processors ( DSPs ) for the computation of robot dynamics. The emphasis here is on parallel computation with particular problems attacked being task granularity, task allocation/scheduling and communication issues. Chapter I, by Zheng and Hemami, is concerned with the real-time multiprocessor computation of torques in robot control systems via the Newton-Euler equations. This reduces substantially the height of the evaluation tree which leads to more effective parallel processing. Chapter 2, by D'Hollander, examines thoroughly the automatic scheduling of the Newton-Euler inverse dynamic equations. The automatic program decomposition and scheduling techniques developed are embedded in a tool used to generate multiprocessor schedules from a high-level language program