{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T17:01:31Z","timestamp":1777568491725,"version":"3.51.4"},"reference-count":27,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T00:00:00Z","timestamp":1661904000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61163051"],"award-info":[{"award-number":["61163051"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Robotics"],"published-print":{"date-parts":[[2022,8,31]]},"abstract":"<jats:p>To address the problems of the traditional A<jats:inline-formula>\n                     <a:math xmlns:a=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\">\n                        <a:msup>\n                           <a:mrow\/>\n                           <a:mi>\u2217<\/a:mi>\n                        <\/a:msup>\n                     <\/a:math>\n                  <\/jats:inline-formula> algorithm in solving paths with many expansion nodes, high memory overhead, low operation efficiency, and many path corners, this paper improved the traditional A<jats:inline-formula>\n                     <c:math xmlns:c=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\">\n                        <c:msup>\n                           <c:mrow\/>\n                           <c:mi>\u2217<\/c:mi>\n                        <\/c:msup>\n                     <\/c:math>\n                  <\/jats:inline-formula> algorithm by combining jump point search strategy and adaptive arc optimization strategy. Firstly, to improve the safety of our paths, the risk area of the obstacles was expanded. Then, the A<jats:inline-formula>\n                     <e:math xmlns:e=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\">\n                        <e:msup>\n                           <e:mrow\/>\n                           <e:mi>\u2217<\/e:mi>\n                        <\/e:msup>\n                     <\/e:math>\n                  <\/jats:inline-formula> algorithm was combined with the jump point search strategy to achieve the subnode jump search, reducing the calculation scale and memory overhead, and improving search efficiency. Considering the influence of the density of obstacles on search efficiency, the heuristic function was enhanced according to the special effects of the density of obstacles. Finally, the redundant jump point and adaptive arc optimization strategies were used to shorten the path length further and enhance the initial path\u2019s smoothness. Simulation results showed that our algorithm outperforms traditional A<jats:inline-formula>\n                     <g:math xmlns:g=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M4\">\n                        <g:mi>\u2217<\/g:mi>\n                     <\/g:math>\n                  <\/jats:inline-formula> and literature algorithms in path length, security, and smoothness, and then was further validated and applied in large-scale marine environments and realistic settings.<\/jats:p>","DOI":"10.1155\/2022\/7682201","type":"journal-article","created":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T23:50:13Z","timestamp":1661989813000},"page":"1-15","source":"Crossref","is-referenced-by-count":7,"title":["A Smooth Jump Point Search Algorithm for Mobile Robots Path Planning Based on a Two-Dimensional Grid Model"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5752-1507","authenticated-orcid":true,"given":"Zhen","family":"Yang","sequence":"first","affiliation":[{"name":"School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1526-145X","authenticated-orcid":true,"given":"Junli","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3345-5899","authenticated-orcid":true,"given":"Liwei","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6700-022X","authenticated-orcid":true,"given":"Hejiang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"4","key":"1","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1016\/j.dt.2019.04.011","article-title":"A review: on path planning strategies for navigation of mobile robot","volume":"15","author":"B. K. Patle","year":"2019","journal-title":"Defence Technology"},{"key":"2","doi-asserted-by":"crossref","DOI":"10.1016\/j.sciaf.2021.e01068","article-title":"An Improved multi-objective a-star algorithm for path planning in a large workspace: design, Implementation, and Evaluation","volume":"15","author":"O. O. Martins","year":"2022","journal-title":"Scientific African"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/8881684"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.12.012"},{"key":"5","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2021.107230","article-title":"Path planning optimization of indoor mobile robot based on adaptive ant colony algorithm","volume":"156","author":"C. 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Zhang","year":"2021","journal-title":"International Journal of Advanced Robotic Systems"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.3390\/fi9030051"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/4511252"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-019-01112-z"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1177\/17298814211042730"},{"issue":"20","key":"24","first-page":"2489","article-title":"Path planning of mobile robots based on A\u2217 algorithm and artificial potential field algorithm","volume":"30","author":"H. 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