Intelligent Robotic Systems: Design, Planning, and Control

by Witold Jacak

Overview

Here is a comprehensive presentation of methodology for the design and synthesis of an intelligent complex robotic system, connecting formal tools from discrete system theory, artificial intelligence, neural network, and fuzzy logic. The necessary methods for solving real time action planning, coordination and control problems are described. A notable chapter presents a new approach to intelligent robotic agent control acting in a realworld environment based on a lifelong learning approach combining cognitive and reactive capabilities. Another key feature is the homogeneous description of all solutions and methods based on system theory formalism.

Product Details

ISBN-13:	9781475772401
Publisher:	Springer US
Publication date:	03/08/2013
Series:	IFSR International Series in Systems Science and Systems Engineering , #14
Edition description:	2002
Pages:	310
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Off-Line Planning, Programming, and Simulation of Intelligent Robotic Systems.- Virtual Robotic Cells.- Planning of Robotic Cell Actions.- Off-Line Planning of Robot Motion.- CAP/CAM Systems for Robotic Cell Design.- Intelligent Robotic Systems.- Event-Based Real-Time Control of Intelligent Robotic Systems Using Neural Networks and Fuzzy Logic.- The Execution Level of Robotic Agent Action.- The Coordination Level of a Multiagent Robotic System.- The Organization Level of a Robotic System.- Real-Time Monitoring.- Object-Oriented Discrete-Event Simulator of Intelligent Robotic Cells.

Editorial Reviews

Jacak (Johannes Kepler University, Linz, Austria) deals with the basic research issues associated with each subsystem of an intelligent robotic cell, and discusses how tools and methods from different discrete system theory, artificial intelligence, fuzzy set theory, and neural network analysis can address these issues. The first part gives detailed formal descriptions and solutions of problems in technological process planning and robot motion planning. The methods are for use in the off-line phase of design and synthesis. Part two treats real-time events based on multilevel coordination and control of robotic cells using neural network computing. Different on-line planning and control methods are described depending on the knowledge about the surrounding environment of the robotic agent. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews

‘The book is clearly written and well organized. It covers recent approaches to the field, including those originated during author's own research. It can be used by experts who look for recent advances in intelligent robotic systems. Also, the book can be recommended as a textbook for an advanced course in the area'
Journal of General Systems, 31:1 (2002)

From the Publisher