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Pattern Sets for Financial Prediction: A Follow-Up Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Knowledge-Based Expert System Using a Set of Rules to Assist a Tele-operated Mobile Robot

Authors : David Adrian Sanders, Alexander Gegov, David Ndzi

Published in: Intelligent Systems and Applications

Publisher: Springer International Publishing

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Abstract

This paper firstly reviews five artificial intelligence tools that might be useful in helping tele-operators to drive mobile robots: knowledge-based systems (including rule based systems and case-based reasoning), automatic knowledge acquisition, fuzzy logic, neural networks and genetic algorithms. Rule-based systems were selected to provide real time support to tele-operators with their steering because the systems allow tele-operators to be included in the driving as much as possible and to reach their target destination, while helping when needed to avoid an obstacle. A bearing to an end-point is added as an input with an obstacle avoidance sensor system and the usual inputs from a joystick. A recommended direction is combined with the angle and position of a joystick and the rule-based scheme generates a recommended angle to rotate the mobile robot. That recommended angle is then blended with the user input to assist tele-operators with steering their robots in the direction of their destinations.

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Metadata
Title
Knowledge-Based Expert System Using a Set of Rules to Assist a Tele-operated Mobile Robot
Authors
David Adrian Sanders
Alexander Gegov
David Ndzi
Copyright Year
2018
Book
Intelligent Systems and Applications

Print ISBN: 978-3-319-69265-4

Electronic ISBN: 978-3-319-69266-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-69266-1_18

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