Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1028
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dc.contributor.authorParhi, D R K-
dc.contributor.authorPradhan, Saroj Kumar-
dc.contributor.authorPanda, A K-
dc.contributor.authorBehera, R K-
dc.date.accessioned2009-08-29T03:45:35Z-
dc.date.available2009-08-29T03:45:35Z-
dc.date.issued2009-
dc.identifier.citationApplied Soft Computing, Volume 9, 2009, pages 477–487en
dc.identifier.urihttp://dx.doi.org/110.1016/j.asoc.2008.04.017-
dc.identifier.urihttp://hdl.handle.net/2080/1028-
dc.description.abstractIntelligent path planning of multiple mobile robots has been addressed in this paper. Cooperative behaviour can be achieved using several mobile robots, which require online inter-communication among themselves. In the present investigation rule-based and rule-based- neuro-fuzzy techniques are analyzed for multiple mobile robots navigation in an unknown or partially known environment. The final aims of the robots are to reach some pre-defined goals. Based upon a reference motion, direction; distances between the robots and obstacles; distances between the robots and targets; different types of rules are taken heuristically and refined later to find the steering angle. The control system combines a repelling influence related to the distance between robots and nearby obstacles and with an attracting influence between the robots and targets. Then a hybrid rule-based-neuro-fuzzy technique is analyzed to find the steering angle of the robots. Results show that the proposed rule-based-neuro-fuzzy technique can improve navigation performance in complex and unknown environments compared to this simple rule-based technique.en
dc.format.extent1981459 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherElsevieren
dc.subjectMobile robotsen
dc.subjectObstacle avoidanceen
dc.subjectTarget seekingen
dc.subjectRule-baseden
dc.subjectNeuro-fuzzyen
dc.subjectNavigationen
dc.titleThe Stable and Precise Motion Control for Multiple Mobile Robotsen
dc.typeArticleen
Appears in Collections:Journal Articles

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