{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/78657"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/78657","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Investigating Virtual Environment and Optimal Behavior of Swarm Robots","abstract":"M.S.","abstract_html":"M.S.","abstract_has_math":false,"creators":["Sher, Sidharth"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Chowdhury, Souma","Mechanical and Aerospace Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-10-26T02:57:39Z","date_published":"2018-10-26T02:57:39Z","updated_at":"2026-07-27T19:05:14Z","subjects":["mechanical engineering"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/78657","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Chowdhury, Souma","Mechanical and Aerospace Engineering"]},{"key":"dc:creator","label":"Author","values":["Sher, Sidharth"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-10-26T02:57:39Z","2018","2018-08-16 15:32:17"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["mechanical engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/78657"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["M.S.","This research encapsulated an innovative approach of implementing A.I based behavior trees in the research of swarm robotics. This work covers the manual development of Behavior Trees and their evolution. Behavior Trees make the system intelligent, robust and flexible for various applications. A simulation based optimization was carried out in order to achieve a optimized generalized behavior tree which will perform efficiently in any environment. The final evolved tree was tested in a V-Rep based simulation environment, which was later implemented on physical swarm bot. The work in thesis wraps up with the Behavior Tree implementation on real platform and the analysis of reality gaps associated with simulation vs real environments."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Investigating Virtual Environment and Optimal Behavior of Swarm Robots"]}]}],"canonical_facts":{"dc:contributor":["Chowdhury, Souma","Mechanical and Aerospace Engineering"],"dc:creator":["Sher, Sidharth"],"dc:date":["2018-10-26T02:57:39Z","2018","2018-08-16 15:32:17"],"dc:description":["M.S.","This research encapsulated an innovative approach of implementing A.I based behavior trees in the research of swarm robotics. This work covers the manual development of Behavior Trees and their evolution. Behavior Trees make the system intelligent, robust and flexible for various applications. A simulation based optimization was carried out in order to achieve a optimized generalized behavior tree which will perform efficiently in any environment. The final evolved tree was tested in a V-Rep based simulation environment, which was later implemented on physical swarm bot. The work in thesis wraps up with the Behavior Tree implementation on real platform and the analysis of reality gaps associated with simulation vs real environments."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/78657"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["mechanical engineering"],"dc:title":["Investigating Virtual Environment and Optimal Behavior of Swarm Robots"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T19:05:14Z"}