Soft-I-Robot (Paperback)


The Internet-based security Soft-I-Robot is modelled using Soft computing paradigms for problem solving and decision-making in complex and ill-structured situations. Soft-I-Robot monitors the workspace with multimedia devices and sensor using an Internet application program. . These multiple features with hybrid Soft computing techniques depart the developed Soft-I-Robot from the existing developments, proving that the streaming technology-based approach greatly improves the sensibility of robot tele-operation. The relatively powerful online robots available today provoke the simple question, in terms of two competing goals: recognition accuracy and computing time. Improved recognition accuracy and reduced computing time for face recognition of the intruder is obtained using Morphological Shared Weight Neural Network. To obtain a collision-free optimized path, Soft-i-Robot uses derivative free Genetic Algorithm. With rapid expansion of Robotics and Soft computing paradigms

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Product Description

The Internet-based security Soft-I-Robot is modelled using Soft computing paradigms for problem solving and decision-making in complex and ill-structured situations. Soft-I-Robot monitors the workspace with multimedia devices and sensor using an Internet application program. . These multiple features with hybrid Soft computing techniques depart the developed Soft-I-Robot from the existing developments, proving that the streaming technology-based approach greatly improves the sensibility of robot tele-operation. The relatively powerful online robots available today provoke the simple question, in terms of two competing goals: recognition accuracy and computing time. Improved recognition accuracy and reduced computing time for face recognition of the intruder is obtained using Morphological Shared Weight Neural Network. To obtain a collision-free optimized path, Soft-i-Robot uses derivative free Genetic Algorithm. With rapid expansion of Robotics and Soft computing paradigms

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Product Details

General

Imprint

Lap Lambert Academic Publishing

Country of origin

Germany

Release date

August 2012

Availability

Expected to ship within 10 - 15 working days

First published

August 2012

Authors

Dimensions

229 x 152 x 3mm (L x W x T)

Format

Paperback - Trade

Pages

56

ISBN-13

978-3-8383-1669-7

Barcode

9783838316697

Categories

LSN

3-8383-1669-X



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