TRAJECTORY PLANNING FOR A MOBILE AGENT USING METAHEURISTICS ALGORITHMS

Authors

  • M. L. Imam University of Jos: Electrical & Electronic Engineering department, Jos
  • I. F. Egbujo University of Jos: Electrical & Electronic Engineering department, Jos
  • P. J. Nyabvo University of Jos: Electrical & Electronic Engineering department, Jos
  • K. Z. Cinfwat University of Jos: Electrical & Electronic Engineering department, Jos
  • I. S. Momoh University of Jos: Electrical & Electronic Engineering department, Jos
  • E. K. Aku University of Jos: Electrical & Electronic Engineering department, Jos

Keywords:

Dynamic Environment Robot Path Planning, Smell Detection Agent Smell Agent Optimization Trajectory Planning

Abstract

This paper presents an optimal path planning technique for a mobile robot in a dynamic
environment. One of the major problems in robotics engineering is motion planning. Since
robots are not intelligent and have no intelligent means of perceiving its environment, it
usually fundamental to develop an obstacle free path capable of guiding the robot from a
goal point to a target point. Therefore, this paper presents a computational base model for
robot path planning in a dynamic obstacle environment. The simulation scenario was
formulated with a constrained robot position and an unknown obstacle position. Simulation
were carried out in Matlab R017a and results showed that the proposed method is efficient
in comparison with previous techniques

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Published

2020-03-27

Issue

Vol. 9 No. 1 (2020)

Section

Articles