{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:26:23Z","timestamp":1760189183065,"version":"3.41.2"},"reference-count":29,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2011,3,29]],"date-time":"2011-03-29T00:00:00Z","timestamp":1301356800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,3,29]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to describe a shape\u2010shifting robot with diverse configurations, named \u201cAMOEBA\u2010I\u201d, which has been developed for search and rescue operations. The accessibility of this robot to unstructured environment is efficiently enhanced by changing its configuration. So the shape and reconfiguration of the robot should be considered in AMOEBA\u2010I path planning to improve work ability of the robot in complex environment. The unique accessibility of AMOEBA\u2010I is thus fully displayed.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>An auto\u2010adapted path\u2010planning method is presented for AMOEBA\u2010I by introducing the reconfigurable ability of the robot into the modified potential field method. The modified potential field method solves the local minimum problem and goal\u2010unreachable with nearby obstacles (GUWNO) effectively. A method of the shape\u2010shifting robot's passing through the narrow space is studied by combining the corner detection with the modified potential field method.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The ability of the robot to automatically change configuration to pass through a narrow space is proven through the experiment. Simulation results show that the robot can change its own configurations to perform auto\u2010adapted path planning corresponding to the environmental variation. Therefore, the proposed method can improve the probability of completing the path planning. As a result, this method will shorten the path length and complete the rescue operation more effectively.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The paper presents an effective auto\u2010adapted path\u2010planning method that integrates the reconfigurable ability of the robot into the modified potential field method in order to realize the auto\u2010adapted path planning.<\/jats:p><\/jats:sec>","DOI":"10.1108\/17563781111115796","type":"journal-article","created":{"date-parts":[[2011,4,2]],"date-time":"2011-04-02T07:08:25Z","timestamp":1301728105000},"page":"61-80","source":"Crossref","is-referenced-by-count":3,"title":["A novel auto\u2010adapted path\u2010planning method for a shape\u2010shifting robot"],"prefix":"10.1108","volume":"4","author":[{"given":"Tonglin","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengdong","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shugen","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinguo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2022020620291661100_b1","unstructured":"Balch, T. and Arkin, R. 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