Expert and Intelligent Systems for Robotic Manipulators Control: A Comprehensive Review

Expert and Intelligent Systems for Robotic Manipulators Control: A Comprehensive Review | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 28 February 2025 V1 Latest version Share on Expert and Intelligent Systems for Robotic Manipulators Control: A Comprehensive Review Authors : Saba Waseem , Muhammad Adnan 0000-0001-5035-7567 [email protected] , Muhammad Sajid Iqbal , Arslan Ahmed Amin , and Anwar Shah Authors Info & Affiliations https://doi.org/10.22541/au.174077476.64719692/v1 525 views 454 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Numerous industrial, medical, and scientific applications currently depend on robotic manipulators, which are essential to the expanding robotics sector. These manipulators cannot operate well without advanced control algorithms that consider precision, adaptability, and flexibility. This work is focused on listing many types, applications, and functions of control strategies for robotic manipulators. The review commences with a broad overview of manipulators, including subjects such as cable-driven, parallel, and serial models. It subsequently contextualizes the unique mechanical and functional characteristics of each type. The next sections encompass a range of control procedures, from conventional techniques such as PID and linear control to complex systems that integrate hybrid control frameworks like machine learning, and artificial intelligence. This comprehensive analysis addresses some enduring issues like task flexibility, computational efficiency, and environmental uncertainty, together with the advantages and disadvantages of each approach. This study also emphasizes emergent domains, including federated learning, blockchain integration, and quantum computing, while also identifying prospective future research topics. By combining current information and outlining potential developments, the study provides researchers and engineers with a reference for improving the control of robotic manipulators, hence improving performance and reliability in challenging working environments. The findings of this work demonstrate the efficacy of advanced control methodologies and pave the way for advances that could transform robotic manipulation in the future. Supplementary Material File (final manuscript.pdf) Download 2.21 MB Information & Authors Information Version history V1 Version 1 28 February 2025 Copyright This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License Keywords control systems control techniques robot arms robot manipulators robotic control Authors Affiliations Saba Waseem Department of Electrical Engineering, FAST National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus View all articles by this author Muhammad Adnan 0000-0001-5035-7567 [email protected] Department of Electrical Engineering, FAST National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus View all articles by this author Muhammad Sajid Iqbal Department of Electrical Engineering, FAST National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus View all articles by this author Arslan Ahmed Amin Department of Electrical Engineering, FAST National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus View all articles by this author Anwar Shah Department of Computer Science, FAST National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus View all articles by this author Metrics & Citations Metrics Article Usage 525 views 454 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Saba Waseem, Muhammad Adnan, Muhammad Sajid Iqbal, et al. Expert and Intelligent Systems for Robotic Manipulators Control: A Comprehensive Review. Authorea . 28 February 2025. DOI: https://doi.org/10.22541/au.174077476.64719692/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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