2021
DOI: 10.17509/ijost.v6i2.36275
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Embedded Design and Implementation of Mobile Robot for Surveillance Applications

Abstract: The surveillance and security of areas such as home, laboratory, office, factory, and airports, are important to prevent any threatening to human lives. Mobile robots are proven their effectiveness in a large number of applications, especially in hazardous areas where they can be remotely controlled by humans to accomplish certain tasks. This research paper presents a design and implementation of a mobile robot for surveillance and security applications. The main objective of the design is to lower the cost an… Show more

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Cited by 20 publications
(14 citation statements)
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“…Another future work can utilize different modern optimization algorithms to enhance the performance of ISMC by optimal tuning of its design parameters (Al-Qassar et al, 2021a;Abdul-Kareem et al, 2022). In addition, the proposed ISMC can be implemented in a real-time environment by conducting embedded system design using advanced hardware technologies (Al-Obaidi et al, 2021;Hassan et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Another future work can utilize different modern optimization algorithms to enhance the performance of ISMC by optimal tuning of its design parameters (Al-Qassar et al, 2021a;Abdul-Kareem et al, 2022). In addition, the proposed ISMC can be implemented in a real-time environment by conducting embedded system design using advanced hardware technologies (Al-Obaidi et al, 2021;Hassan et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Kathe et al [23] presented a direction envelope algorithm for processing the image and finding the path which runs faster because of pre-obtaining the maze data instead of going through the maze environment cell by cell. Combination between multiple-objective optimization and multiple non-holonomic mobile robots navigation for the purpose of path planning and control using an improved evolutionary algorithm and fuzzy logic controller, multi-objective optimization of path and trajectory planning [24], [25].…”
Section: Introductionmentioning
confidence: 99%
“…Al-Obaidi et al [18] developed a wireless-controlled mobile robot with low cost and low power consumption for surveillance applications. Arduino and Raspberry Pi (low-cost open-source hardware) were used for motion control and the main processing unit, respectively.…”
Section: Introductionmentioning
confidence: 99%