{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:58:29Z","timestamp":1777705109389,"version":"3.51.4"},"reference-count":12,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2024,1,10]]},"abstract":"<jats:p>Marine debris is a serious global problem that is not limited to areas where humans live but also drifts around the world with wind and currents. More than 10 million tons of plastic waste flow into the ocean every year, posing a major threat to humanity. This study designs a path planning algorithm for surface garbage-cleaning robots called U*, which aims to improve the efficiency of salvaging marine debris and reduce labor and time costs. The U* algorithm consists of two procedures: exploration and path-planning. The exploration procedure searches for marine debris, while the path-planning procedure predicts the possible location of marine debris using the velocity and direction of ocean currents and finds the shortest path by using a genetic algorithm (GA) to collect the found marine debris. According to the experimental results, the U* method is more efficient in terms of reducing path length and time costs.<\/jats:p>","DOI":"10.3233\/jifs-232137","type":"journal-article","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T11:27:55Z","timestamp":1700220475000},"page":"837-850","source":"Crossref","is-referenced-by-count":3,"title":["U*: GA-based path planning algorithm for surface floating garbage cleaning robot"],"prefix":"10.1177","volume":"46","author":[{"given":"Jiajun","family":"Hong","sequence":"first","affiliation":[{"name":"New Engineering Industry College, Putian University, Fujian, China"}]},{"given":"Rong-Guei","family":"Tsai","sequence":"additional","affiliation":[{"name":"New Engineering Industry College, Putian University, Fujian, China"},{"name":"Xiamen King Long United Automotive Industry Co., Ltd, Fujian, China"}]},{"given":"Xiaolan","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhangzhou College of Science Technology, Fujian, China"}]},{"given":"Di","family":"Lin","sequence":"additional","affiliation":[{"name":"New Engineering Industry College, Putian University, Fujian, China"}]},{"given":"Yicong","family":"Yu","sequence":"additional","affiliation":[{"name":"New Engineering Industry College, Putian University, Fujian, China"}]},{"given":"Ying","family":"Lin","sequence":"additional","affiliation":[{"name":"New Engineering Industry College, Putian University, Fujian, China"}]},{"given":"Ronghao","family":"Li","sequence":"additional","affiliation":[{"name":"New Engineering Industry College, Putian University, Fujian, China"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-232137_ref11","doi-asserted-by":"crossref","unstructured":"Kong S. , Tian M. , Qiu C. , Wu Z. and Yu J. , IWSCR: An Intelligent Water Surface Cleaner Robot for Collecting Floating Garbage, IEEE Transactions on Systems, Man, and Cybernetics: Systems 51(10) (2020).","DOI":"10.1109\/TSMC.2019.2961687"},{"issue":"9","key":"10.3233\/JIFS-232137_ref18","doi-asserted-by":"crossref","first-page":"8529","DOI":"10.1109\/TVT.2021.3097203","article-title":"Path Planning for Autonomous Underwater Vehicles Under the Influence of Ocean Currents Based on a Fusion Heuristic Algorithm","volume":"70","author":"Wen","year":"2021","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"10.3233\/JIFS-232137_ref19","doi-asserted-by":"crossref","first-page":"121267","DOI":"10.1109\/ACCESS.2020.3006579","article-title":"Multi-Objective Genetic Algorithm-Based Autonomous Path Planning for Hinged-Tetro Reconfigurable Tiling Robot","volume":"8","author":"Cheng","year":"2020","journal-title":"IEEE Access Journal"},{"issue":"12","key":"10.3233\/JIFS-232137_ref20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LSENS.2021.3124800","article-title":"Automation Tool for Home Fire Safety Check","volume":"5","author":"Tsai","year":"2021","journal-title":"IEEE Sensors Letters"},{"issue":"11","key":"10.3233\/JIFS-232137_ref21","doi-asserted-by":"crossref","first-page":"2640","DOI":"10.3390\/s19112640","article-title":"An Improved Genetic Algorithm for Path-Planning of Un-manned Surface Vehicle","volume":"19","author":"Xin","year":"2019","journal-title":"Sensors Journal"},{"issue":"11","key":"10.3233\/JIFS-232137_ref23","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.3390\/jmse9111183","article-title":"Path Planning for Underwater Information Gathering Based on Genetic Algorithms and Data Stochastic Models","volume":"9","author":"Bresciani","year":"2021","journal-title":"Journal of Marine Science and Engineering"},{"issue":"11","key":"10.3233\/JIFS-232137_ref24","doi-asserted-by":"crossref","first-page":"1620","DOI":"10.3390\/jmse10111620","article-title":"SMURF: A Fully Autonomous Water Surface Cleaning Robot with A Novel Coverage Path Planning Method","volume":"10","author":"Zhu","year":"2022","journal-title":"Journal of Marine Science and Engineering"},{"issue":"11","key":"10.3233\/JIFS-232137_ref25","doi-asserted-by":"crossref","first-page":"1163","DOI":"10.3390\/jmse9111163","article-title":"Complete Coverage Path Planning of an Unmanned Surface Vehicle Based on a Complete Coverage Neural Network Algorithm","volume":"9","author":"Xu","year":"2021","journal-title":"Journal of Marine Science and Engineering"},{"key":"10.3233\/JIFS-232137_ref26","doi-asserted-by":"crossref","first-page":"225945","DOI":"10.1109\/ACCESS.2020.3045027","article-title":"Coverage path planning for decomposition reconfigurable grid-maps using deep reinforcement learning based travelling salesman problem,","volume":"8","author":"Kyaw","year":"2020","journal-title":"IEEE Access"},{"key":"10.3233\/JIFS-232137_ref28","doi-asserted-by":"crossref","first-page":"113759","DOI":"10.1016\/j.oceaneng.2023.113759","article-title":"A distributed coordinated path planning algorithm for maritime autonomous surface ship,","volume":"271","author":"Ni","year":"2023","journal-title":"Ocean Engineering"},{"issue":"3","key":"10.3233\/JIFS-232137_ref30","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1145\/278298.278306","article-title":"Proof verification and the hardness of approximation problems","volume":"45","author":"Arora","year":"1998","journal-title":"Journal of the ACM"},{"issue":"6","key":"10.3233\/JIFS-232137_ref31","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1016\/0960-0779(94)90136-8","article-title":"An analytical study of chaotic stirring in tidal areas","volume":"4","author":"Beerens","year":"1994","journal-title":"Chaos, Solitons & Fractals"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-232137","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:42:55Z","timestamp":1777455775000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-232137"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,10]]},"references-count":12,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.3233\/jifs-232137","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,10]]}}}