Browsing by Author "Moshayedi, Ata Jahangir"

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    Design and Development of Foodiebot Robot: from Simulation to Design
    (IEEE, 2024-01-17) Moshayedi, Ata Jahangir; Roy, Atanu Shuvam; Liao, Liefa; Sohail Khan, Amir; Kolahdooz, Amin; Eftekhari, Seyyed Ali
    This investigation is centrally focused on the comprehensive evolution and enhancement of FOODIEBOT, an adaptive service automaton with a wide range of functionalities. Its capabilities encompass sophisticated image processing methods, seamlessly integrated via mobile applications (APP) and web interfaces, tailored specifically for intricate object manipulation in dining hall settings. During its developmental phase, the precise calibration of PID controller coefficients emerged as an essential requirement. The model underwent meticulous scrutiny through detailed simulations using MATLAB software. Following this phase, its operational efficiency navigating through circular, elliptical, spiral, and octagonal trajectories underwent rigorous examination, utilizing optimization methodologies like BAS, PSO, POA, and EO. The exposition emphasizes the diverse dispersion of optimized coefficients within each algorithmic framework. The pinnacle of this effort involved a comprehensive evaluation of pathway performance, amalgamating insights from each optimization paradigm. The discussion extensively delineates both simulated and real-time performance metrics of the robot, validating the accuracy and reliability of simulation in deriving PID controller values. In the comprehensive evaluation of methodologies and the robotic system’s effectiveness, the BAS technique excels in operational efficiency. This method consistently outperforms its counterparts in execution time, primarily due to its meticulous optimization of particle count. The comparative analysis across various trajectories reveals intriguing insights. The EO approach showcases outstanding accuracy in Path 1, while the POA method achieves optimal precision in Path 3. Impressively, the BAS technique demonstrates unparalleled accuracy in Path 4. Furthermore, in terms of solution optimization, the BAS method consistently displays the shortest execution times across all traversed pathways. When examining maximum velocity along these routes, the PSO method excels in Paths 1, 3, and 4, consistently achieving the highest speeds. Notably, Path 2 uniquely displays the peak velocity attained by the POA method. This article presents comprehensive insights into the constituent elements of the robotic system’s design. The inquiry delves into the intricate nuances of optimization methodologies, elucidating their profound impact on the service automaton’s performance across diverse orientations. The pragmatic implications underscore the critical role of temporal considerations in the judicious selection of these methodologies. The observed congruence between simulated and practical performance serves as a definitive validation, affirming the precision of simulation computations and the subsequent derivation of PID controller values.
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    Immersive Horizons: Exploring the Transformative Power of Virtual Reality Across Economic Sectors
    (EAI Endorsed Transactions on AI and Robotics, 2023-06-09) Durojaye, Abiodun; Kolahdooz, Amin; Nawaz, Abdullah; Moshayedi, Ata Jahangir
    The scholarly discourse surrounding the manifold advantages, applications, and limitations of implementing Virtual Reality (VR) in the contemporary milieu has burgeoned over time. VR holds immense potential, attracting fervent interest from governmental and private entities alike. Nevertheless, the existing body of literature pertaining to the expanding utilization of VR in diverse economic sectors remains scant. Therefore, the primary objective of this study is to furnish a comprehensive literature review encompassing VR applications across various economic domains while elucidating concerns surrounding its integration within engineering education. A total of 108 publications were extracted from prominent databases such as Scopus, Elsevier, Science Direct, and Google Scholar, with a subsequent review of 51 relevant works. These scrutinized journals were published between 2015 and 2022 and were predominantly authored in English. The reviewed publications encompassed VR applications in education, robotics, healthcare, transportation, sports, agriculture, governance, security, and media. The study’s findings unveiled significant advancements in VR implementation within engineering education, medical training, cognitive augmentation, aircraft assembly, governance, and diverse other spheres. Notwithstanding these achievements, impediments to VR deployment were identified, stemming from financial exigencies, cultural and conventional norms, with scant evidence of VR’s prevalence in underdeveloped nations, given that all the assessed research originated from developed economies. Additionally, the limitations of this review encompassed a small sample size and a narrowly focused demographic in the examined articles. Nevertheless, despite these constraints, the research highlights substantial progress in VR utilization over the preceding decade.
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    ItemEmbargo
    Indoor UAV Object Detection Algorithms On Three Processors: Implementation Test And Comparison
    (IEEE, 2023-01-06) Zarei, Mohammad; Moshayedi, Ata Jahangir; Zhong, Yangwan; Khan, Amir Sohail; Kolahdooz, Amin; Emadi Andani, Mehran
    Nowadays Unmanned aerial vehicles (UAV) are used in various applications. One of the domains that they are recently hired on is remote sensing applications which they should detect and identify the object. Till today various algorithms are proposed but among them SIFT, SURF, ORB and BRISK are more famous but based on the author's resources their performance over the different processors with the same target image is not reported before which is aimed at this research paper. The mentioned algorithms are implemented on three types of hardware, Raspberry Pi3, Odroid C2, and Intel NUC, which were selected based on their availability and different applications in the robotic system. In order to compare the images of a common object, the common UAV structure was designed that can carry all the processors to different heights. Python programming language and OpenCV machine vision library have been used to implement each algorithm. After going through the described calibration steps, the performance of each algorithm in terms of accuracy and processing time on each processor with three cases of rotation modes, the scale and deviation are compared and analyzed based on the image obtained from the drone camera. The results obtained in this research show that the Intel NUC processor has a good processing time in all four algorithms, and the maximum accuracy for all cases of rotation, scale and skew belongs to SIFT. In addition to the mentioned comparison, due to the importance of the weight of accessories, a parameter called TW is defined to show the relationship between processing time and processor mass and the results are reported. The obtained results show that the algorithm's performance result in Raspberry Pi3 and Odroid C2 is very close and inferior to the Intel Nuc processor. But TW for Odroid C2 has even better results than Intel Nuc, which can interest UAV designers and professionals who need to use lightweight drones in remote sensing applications.