Modeling and implementing the behavior of RR robot using FPGA

Al-Shabi, Mohammad; Bonny, Talal

doi:10.1117/12.2623821

Cited by 2 publications

(2 citation statements)

References 91 publications

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“…Artificial intelligence (AI) [1][2][3][4][5][6][7][8] and robots [9][10][11][12][13][14][15][16][17][18][19][20] have given birth to a new wave of technological break throughs whereby the fusion of control systems with cognitive capabilities is not merely a dream but a reality that is not only being improved but also exploited with passion. The convergence is underlined by the Unscented Kalman Filter (UKF) [21][22][23][24][25][26][27][28][29][30][31][32][33], a sophisticated algorithm that has done a lot in advancing the abilities of AI-based robotics [34][35][36][37][38][39][40][41][42][43][44][45][46][47][48].…”

Section: Introductionmentioning

confidence: 99%

The convergence of control and cognition: a bibliometric overview of UKF in AI-infused robotics

Obaideen,

AlShabi,

Bettayeb

et al. 2024

Disruptive Technologies in Information Sciences VIII

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This paper gives a bibliometric summary of Unscented Kalman Filter (UKF) in AI-infused robotics, highlighting its role in unifying control and cognition. Using a systematic approach that includes literature collection from IEEE Xplore, Web of Science and Google Scholar, rigorous screening and selection, and VOSviewer for a comprehensive bibliometric analysis. This analysis reports major trends, primary contributors and central themes, highlighting UKF's pivotal role in improving robotics cognitive and control capacities. The study emphasizes the universally used UKF in many fields of robotics, i.e. in navigation and mapping, sensor fusion, and state estimation, as one of its principal developers, which illustrates its vital role in promoting robotic autonomy and intelligence. The integration of findings from the bibliometric analysis thus not only presents the current state of research but also identifies possible future research directions, highlighting the increasing unification of control theories and cognitive processes in robotics. This research adds to the body of knowledge by delivering a comprehensive map of the UKF application. In this light, the UKF will be able to penetrate AI-infused robotics, the future of robotic developments will rely on the deep fusion of control and cognition facilitated by UKF and alike.

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Section: Introductionmentioning

confidence: 99%

The convergence of control and cognition: a bibliometric overview of UKF in AI-infused robotics

Obaideen,

AlShabi,

Bettayeb

et al. 2024

Disruptive Technologies in Information Sciences VIII

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“…Tabu search algorithm is another trajectory-based method that has been used in optimizing the optimal sizing of hybrid PV/energy storage systems [65][66][67][68][69]. Nature-inspired methods follow the laws of nature and have been used in predicting glass properties by using physicsand chemistry-informed machine learning models [30,[70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87]. One example of this type of application is the comparative analysis of the latest swarm-based optimization approaches [88][89][90] under partial shading conditions, which found that under heavier shading conditions, the grasshopper optimization algorithm (GOA) [71,74,[91][92][93][94][95] and salp swarm algorithm (SSA) [5,[96][97][98][99][100][101][102][103][104] outperformed other swarm-based maximum power point tracking (MPPT) algorithms …”

Section: Introductionmentioning

confidence: 99%

Design a wing flange lever mechanism using Giza pyramid algorithm

Al-Shabi

Abouelazm

Nassif

et al. 2023

Sensors and Systems for Space Applications XVI

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In this work, a well-known mechanism that is referred to as piston lever mechanism is design to control the wing's flange. The design targets the mechanism components and their location while maintaining the minimum oil level required to lift the flanges from 0 to 45 degrees. The design is considered a multi-objective optimization problem; in which we propose the Giza Pyramid Algorithm (GPA) to optimize. GPA is a newly developed metaheuristic technique of type ancientinspired that was developed in 2021. The GPA shall obtain the best design while satisfying four constrains. The algorithm will be tested in Monte Carlo simulation to show its effectiveness in terms of stability and robustness. The performance is then compared to the particle swarm optimization. The proposed method shows a superior result compared to the PSO.

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Modeling and implementing the behavior of RR robot using FPGA

Cited by 2 publications

References 91 publications

The convergence of control and cognition: a bibliometric overview of UKF in AI-infused robotics

The convergence of control and cognition: a bibliometric overview of UKF in AI-infused robotics

Design a wing flange lever mechanism using Giza pyramid algorithm

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