{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T11:46:11Z","timestamp":1769514371453,"version":"3.49.0"},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,12,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The control design of target search and hunting using multi-robot remains a challenge in recent years. In this paper, we\npropose a control algorithm of multi-robot for target search and hunting inspired by potential field-based particle swarm\noptimization (PPSO). Firstly, a potential field function is established according to the initial positions of the\nobstacles, un-search area and targets. Then, the fitness function of PSO's (particle swarm optimization) is determined by\nthe potential function of the work area. Lastly, multi-robot start performing target search and hunting missions driven by\nthe proposed PPSO algorithm. Simulation results demonstrate that the PPSO algorithm is applicable and feasible for\nmulti-robot cooperation to search and hunting targets. Compared with other commonly used methods for control of\nmulti-robot, simulation results indicate that the PPSO algorithm has more stability and higher efficiency.<\/jats:p>","DOI":"10.1515\/auto-2017-0080","type":"journal-article","created":{"date-parts":[[2017,12,13]],"date-time":"2017-12-13T07:57:01Z","timestamp":1513151821000},"page":"878-887","source":"Crossref","is-referenced-by-count":18,"title":["A potential field-based PSO approach to multi-robot cooperation for target search and hunting"],"prefix":"10.1515","volume":"65","author":[{"given":"Xiang","family":"Cao","sequence":"first","affiliation":[{"name":"School of Automation, Southeast University, 2 Sipailou, 210096 Nanjing China"},{"name":"School of Physics and Electronic Electrical Engineering, Huaiyin Normal University, 223300 Huaian China"}]},{"given":"Changyin","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Automation, Southeast University, 2 Sipailou, 210096 Nanjing China"}]}],"member":"374","published-online":{"date-parts":[[2017,12,12]]},"container-title":["at - Automatisierungstechnik"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/auto.2017.65.issue-12\/auto-2017-0080\/auto-2017-0080.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2017-0080\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2017-0080\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T18:34:11Z","timestamp":1624300451000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2017-0080\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12,1]]},"references-count":0,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2017,12,12]]},"published-print":{"date-parts":[[2017,12,27]]}},"alternative-id":["10.1515\/auto-2017-0080"],"URL":"https:\/\/doi.org\/10.1515\/auto-2017-0080","relation":{},"ISSN":["2196-677X","0178-2312"],"issn-type":[{"value":"2196-677X","type":"electronic"},{"value":"0178-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2017,12,1]]}}}