IntelliSys 2016: Intelligent Systems and Applications pp 371-392 | Cite as

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

  • David Adrian Sanders
  • Alexander Gegov
  • David Ndzi
Conference paper
First Online:
Part of the Studies in Computational Intelligence book series (SCI, volume 751)

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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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • David Adrian Sanders
    • 1
  • Alexander Gegov
    • 1
  • David Ndzi
    • 2
  1. 1.Faculty of TechnologyPortsmouth UniversityPortsmouthUK
  2. 2.School of Engineering and ComputingUniversity of the West of ScotlandHamiltonUK

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