{"created":"2020-09-01T15:07:02.616960+00:00","id":4575,"links":{},"metadata":{"_buckets":{"deposit":"b6206a88-b6be-444c-a1a3-d685cdacc6f7"},"_deposit":{"id":"4575","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4575"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4575","sets":["1582963302567:1597824322519"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Shorter Path Generation Scheme for Adaptable Self-Organized","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Swarm robotics is an approach to the collective robotics that takes inspiration fromthe self-organized behaviors of social animals. Through simple rules and local interactions, swarm robotics aims at designing robust, scalable and flexible collective behaviors for the coordination of large numbers of robots. Recently, there has been a growing interest in multi-robot systems. This interest is motivated by the fact that inherent parallelism and redundancy make multi-robot systems more robust than single robot systems. Furthermore, a multi-robot system can be versatile enough to generate the different structures and functions required to undertake missions in unknown environmental conditions.Robots are used in many fields, such as cleaning, medical treatment, spaceexploration, disaster relief and so on. The proposed work introduces path communicationscheme from the self-organized robot swarms. The main purpose is to work swarm robotswith minimal requirements, such as reducing the time required for finding the path between swarm robots from its self-organized network without long-lived state information. The important features include self-organization, self-healing, topology adaptable and theshorter path selecting from its self-organized neighbors. The proposed work can also beproved that the system can also reduce the processing time by comparing with another path finding algorithm."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2020-02-20"}],"displaytype":"preview","filename":"SoeSoeHlaing.pdf","filesize":[{"value":"3984 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4575/files/SoeSoeHlaing.pdf"},"version_id":"993a2563-c7d4-4b2f-a745-1074e989f688"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"University of Computer Studies, Yangon","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Hlaing, Soe Soe"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Thesis"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2020-02"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/2495"},"item_title":"Shorter Path Generation Scheme for Adaptable Self-Organized","item_type_id":"21","owner":"1","path":["1597824322519"],"publish_date":"2020-02-20","publish_status":"0","recid":"4575","relation_version_is_last":true,"title":["Shorter Path Generation Scheme for Adaptable Self-Organized"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-03-24T23:16:20.691614+00:00"}