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

Bashra Kadhim Oleiwi
Bashra Kadhim Oleiwi
Hubert Roth
Hubert Roth
Asif Mahfuz
Asif Mahfuz
University of Siegen University of Siegen

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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. Bashra Oleiwi,Asif Mahfuz,Hubert Roth (2015). Application of Fuzzy Logic for Collision Avoidance of Mobile Robots in Dynamic-Indoor Environments.
  2. Bashra Oleiwi,Hubert Roth,Bahaa Kazem (2014). Modified Genetic Algorithm based on A* Algorithm of Multi Objective Optimization for Path Planning.
  3. A Saffiotti (1997). The uses of fuzzy logic for autonomous robot navigation.
  4. E Tunstel,T Lippincott,M Jamshidi (2000). Introduction to Fuzzy Logic Control With Application to Mobile Robotics.
  5. A Kandel,S Lee (1979). Fuzzy Switching and Automata: Theory and Applications.
  6. Leonid Reznik (1997). Fuzzy Controller Implementation.
  7. K Passino,S Yurkovich (1998). Fuzzy control.
  8. R Siegwart,I Nourbakhsh,Nourbakhsh (2004). Introduction to Autonomous Mobile Robots.
  9. B Oleiwi,R Al-Jarrah,H Roth,I Bahaa (2014). Intelligent hybrid approach for multi robots-multi objectives motion planning optimization.
  10. L Nall,R Hathaway (2002). Fuzzy Systems Toolbox, Fuzzy Logic Toolbox [Software Review].

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. \u201cImplementation of Human Perception in Mobile Robots with Fuzzy Logic for Collision Avoidance\u201d. 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

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Classification
GJRE-J Classification FOR Code: 291899p
Version of record

v1.2

Issue date
January 17, 2016

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

Bashra Kadhim Oleiwi
Bashra Kadhim Oleiwi <p>University of Siegen</p>
Hubert Roth
Hubert Roth
Asif Mahfuz
Asif Mahfuz

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