The motion control of a mobile robot using multiobjective decision making

  • Authors:
  • Earl B. Smith

  • Affiliations:
  • Tuskegee University, Tuskegee, AL

  • Venue:
  • Proceedings of the 47th Annual Southeast Regional Conference
  • Year:
  • 2009

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Abstract

This paper discusses the use of fuzzy logic based decision-making of autonomous robots in unstructured environments. We will introduce fuzzy multiobjective decision making within the context of the motion control of mobile robots. This process is comparable to human decision-making where one's initial assessment of the surroundings provides the basis for navigating in unstructured environments. Visual feedback enables one to deal with elements in the environment not for seen in the initial planning process. It is shown that the proposed approach offers a viable alternative to existing approaches in mobile robotics by providing a flexible architecture for addressing complexity of motion planning. The goal here is to develop a process and/or algorithm that will use decision-making in order to increase a robot's overall autonomy.