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Implementation of Human Perception in Mobile Robots with Fuzzy Logic for Collision Avoidance

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Implementation of Human Perception in Mobile Robots with Fuzzy Logic for Collision Avoidance

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Abstract

With ever increasing complexities and associated dangers of Industrial processes and activities, a major endeavor have been focused in automating the industrial process and activities and reduce human interactions and thus eradicating the associated dangers. Ever since, a heuristic effort have been concentrated in replacing human with robots due to their ability to perform tasks repeatedly, quickly, accurately and without fatigue. Autonomous Mobile Robots, for a long time, have remained in the spotlight of researches due to its potentials in multifunctional applications and its suitability in such industrial applications. However, the key features like path planning and motion planning of Autonomous Mobile Robots needs to have further development before they can be effectively and successfully used in highly dynamic environments, such as, Industrial Environments. This paper addresses the collision avoidance problem within Motion Planning and provides an innovative way, by implementing Human Perception using Fuzzy Inference System, for tackling this problem. The viability and acceptability of the design have been demonstrated by carrying out MATLAB simulations in 2D environments. And to verify the credibility, simulation results have been provided which further ensures the design meets its desired goals.

References

10 Cites in Article
  1. 1. Bashra Oleiwi,Asif Mahfuz,Hubert Roth (2015). Application of Fuzzy Logic for Collision Avoidance of Mobile Robots in Dynamic-Indoor Environments. 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 131-136.
  2. 2. Bashra Oleiwi,Hubert Roth,Bahaa Kazem (2014). Modified Genetic Algorithm based on A* Algorithm of Multi Objective Optimization for Path Planning. Journal of Automation and Control Engineering, 2(4), 357-362.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Bashra Kadhim Oleiwi. 2016. "Implementation of Human Perception in Mobile Robots with Fuzzy Logic for Collision Avoidance". Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 15 (GJRE Volume 15 Issue J6).

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-J Classification FOR Code: 291899p
Version of record
v1.2

Issue date
January 17, 2016

Language
English
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Implementation of Human Perception in Mobile Robots with Fuzzy Logic for Collision Avoidance

Bashra Oleiwi
Bashra Oleiwi University of Siegen