Design and Development of Foodiebot Robot: from Simulation to Design

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dc.contributor.authorMoshayedi, Ata Jahangir
dc.contributor.authorRoy, Atanu Shuvam
dc.contributor.authorLiao, Liefa
dc.contributor.authorSohail Khan, Amir
dc.contributor.authorKolahdooz, Amin
dc.contributor.authorEftekhari, Seyyed Ali
dc.date.acceptance2024-01-15
dc.date.accessioned2024-02-01T17:09:34Z
dc.date.available2024-02-01T17:09:34Z
dc.date.issued2024-01-17
dc.descriptionopen access article
dc.description.abstractThis 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.
dc.funderNo external funder
dc.identifier.citationMoshayedi, A.J., Roy, A.S., Liao, L., Khan, A.S., Kolahdooz, A. and Eftekhari, A. (2024) Design and Development of Foodiebot Robot: from Simulation to Design. IEEE Access,
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2024.3355278
dc.identifier.urihttps://hdl.handle.net/2086/23503
dc.language.isoen
dc.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofseriesHarvard referencing system
dc.researchinstituteInstitute of Engineering Sciences (IES)
dc.rightsAttribution 2.0 UK: England & Walesen
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/uk/
dc.subjectFOODIEBOT
dc.subjectFood Delivery Robot
dc.subjectService Robot
dc.subjectParticle Swarm Optimization (PSO)
dc.subjectBeetle Antennae Search Algorithm (BAS)
dc.subjectPelican Optimization Algorithm (POA)
dc.subjectEquilibrium Optimizer (EO)
dc.titleDesign and Development of Foodiebot Robot: from Simulation to Design
dc.typeArticle

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