A Review on Local Minimum and Multiple Minimum Avoidance Techniques in Local Path Planning

Authors

  • G. Hamami Faculty of Mechanical Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai Johor, Malaysia
  • M. Mazni Faculty of Mechanical Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai Johor, Malaysia
  • M. S. Amir Faculty of Mechanical Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai Johor, Malaysia
  • F. Sukarman Faculty of Mechanical Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai Johor, Malaysia
  • M. Katon Faculty of Mechanical Engineering, Universiti Teknologi MARA, Cawangan Johor, Kampus Pasir Gudang, 81750 Masai Johor, Malaysia

Keywords:

local path planning, local minimum situation,, multiple minimum situation, behaviour based path planning

Abstract

In the local path planning navigation, a particular focus is given to local minimum problem. This problem occurs when a robot manoeuvre towards a desired target with no initial information of the environment and gets trapped in an infinite loop or also known as a dead end trap. Besides the local minimum situation, there are even worse situation in which when a mobile robot encounters two or more dead ends in a row. This situation is known as “multiple minimum” situation. The situation is forming more complicated problem than the local minimum situation. In this paper, a complete review is given on the local minimum and multiple minimum problems and the available solutions for these situations are discussed in detail.

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Published

2020-12-07

How to Cite

Hamami, G. ., Mazni, M. ., Amir, M. S. ., Sukarman, . F. ., & Katon, M. . (2020). A Review on Local Minimum and Multiple Minimum Avoidance Techniques in Local Path Planning . Journal of Advanced Research in Applied Sciences and Engineering Technology, 4(1), 58–71. Retrieved from https://www.akademiabaru.com/submit/index.php/araset/article/view/1901
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