{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T18:12:20Z","timestamp":1771956740884,"version":"3.50.1"},"reference-count":37,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T00:00:00Z","timestamp":1673481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005417","name":"Universiti Teknologi Malaysia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005417","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Robot. AI"],"abstract":"<jats:p>Due to the complexity of autonomous mobile robot\u2019s requirement and drastic technological changes, the safe and efficient path tracking development is becoming complex and requires intensive knowledge and information, thus the demand for advanced algorithm has rapidly increased. Analyzing unstructured gain data has been a growing interest among researchers, resulting in valuable information in many fields such as path planning and motion control. Among those, motion control is a vital part of a fast, secure operation. Yet, current approaches face problems in managing unstructured gain data and producing accurate local planning due to the lack of formulation in the knowledge on the gain optimization. Therefore, this research aims to design a new gain optimization approach to assist researcher in identifying the value of the gain\u2019s product with a qualitative comparative study of the up-to-date controllers. Gains optimization in this context is to classify the near perfect value of the gain\u2019s product and processes. For this, a domain controller will be developed based on the attributes of the Fuzzy-PID parameters. The development of the Fuzzy Logic Controller requires information on the PID controller parameters that will be fuzzified and defuzzied based on the resulting 49 fuzzy rules. Furthermore, this fuzzy inference will be optimized for its usability by a genetic algorithm (GA). It is expected that the domain controller will give a positive impact to the path planning position and angular PID controller algorithm that meet the autonomous demand.<\/jats:p>","DOI":"10.3389\/frobt.2022.1087371","type":"journal-article","created":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T04:26:44Z","timestamp":1673497604000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["A hybrid controller method with genetic algorithm optimization to measure position and angular for mobile robot motion control"],"prefix":"10.3389","volume":"9","author":[{"given":"Muhammad Razmi","family":"Razali","sequence":"first","affiliation":[]},{"given":"Ahmad Athif","family":"Mohd Faudzi","sequence":"additional","affiliation":[]},{"given":"Abu Ubaidah","family":"Shamsudin","sequence":"additional","affiliation":[]},{"given":"Shahrol","family":"Mohamaddan","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2023,1,12]]},"reference":[{"key":"B1","doi-asserted-by":"crossref","DOI":"10.1109\/SCEE.2018.8684211","article-title":"Development of a path planning algorithms and controller design for mobile robot","author":"Al-Araji","year":"2018"},{"key":"B2","article-title":"Design of a nonlinear controller for wheeled mobile robot based on cognitive on-line hybrid bees-PSO optimization algorithm","author":"Al-Araji","year":"2017"},{"key":"B3","article-title":"Autonomous mobile robot obstacle avoidance using fuzzy-PID controller in robot\u2019s varying dynamics","author":"Aqeel Ur","year":"2020"},{"key":"B4","doi-asserted-by":"crossref","DOI":"10.1109\/MECO49872.2020.9134317","article-title":"Application of fuzzy logic and PID controller for mobile robot navigation","author":"Babunski","year":"2020"},{"key":"B5","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.automatica.2012.09.019","article-title":"A novel actor\u2013critic\u2013identifier architecture for approximate optimal control of uncertain nonlinear systems","volume":"49","author":"Bhasin","year":"2013","journal-title":"Automatica"},{"key":"B6","doi-asserted-by":"crossref","DOI":"10.1109\/INCISCOS.2018.00017","article-title":"PSO tuning for fuzzy PD + I controller applied to a mobile robot trajectory control","author":"Campos","year":"2018"},{"key":"B7","doi-asserted-by":"crossref","DOI":"10.1109\/IEA.2019.8715227","article-title":"Genetic algorithm based parameters tuning for the hybrid intelligent controller design for the manipulation of mobile robot","author":"Chang","year":"2019"},{"key":"B8","doi-asserted-by":"publisher","first-page":"2966","DOI":"10.1109\/tits.2020.3025671","article-title":"Conditional DQN-based motion planning with fuzzy logic for autonomous driving","volume":"23","author":"Chen","year":"2022","journal-title":"IEEE Trans. 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