This thesis presents a seamlessly controlled human multi-robot system comprised of ground and aerial robots of semi-autonomous nature for source localization tasks. The system combines augmented reality interfaces capabilities with human supervisor's ability to control multiple robots. It used advanced path planning algorithms to ensure obstacles are avoided and that the operators are free for higher-level tasks. A sensor data fused AR view is displayed which helped the users pin point source information or help the operator with the goals of the mission. The paper studies a preliminary Human Factors evaluation of this system in which several interface conditions are tested for source detection tasks.
","abstract_html":"<p>This thesis presents a seamlessly controlled human multi-robot system comprised of ground and aerial robots of semi-autonomous nature for source localization tasks. The system combines augmented reality interfaces capabilities with human supervisor's ability to control multiple robots. It used advanced path planning algorithms to ensure obstacles are avoided and that the operators are free for higher-level tasks. A sensor data fused AR view is displayed which helped the users pin point source information or help the operator with the goals of the mission. The paper studies a preliminary Human Factors evaluation of this system in which several interface conditions are tested for source detection tasks.</p>","abstract_has_math":false,"creators":["Lee, Sam Yung-Sen"],"institution":null,"degree_name":"Ph.D.","degree_level":"Open Access Dissertation","degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":["Abhilash Pandya"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-01-01T08:00:00Z","date_published":"2011-01-01T08:00:00Z","updated_at":"2026-07-24T05:58:57Z","subjects":["Augmented Reality","Human-Robot Interface","Multi-Robot","Electrical and Computer Engineering","Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.wayne.edu/oa_dissertations/381","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Abhilash Pandya"]},{"key":"dc:creator","label":"Author","values":["Lee, Sam Yung-Sen"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2011-01-01T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Open Access Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Augmented Reality","Human-Robot Interface","Multi-Robot","Electrical and Computer Engineering","Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.wayne.edu/oa_dissertations/381"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis presents a seamlessly controlled human multi-robot system comprised of ground and aerial robots of semi-autonomous nature for source localization tasks. The system combines augmented reality interfaces capabilities with human supervisor's ability to control multiple robots. It used advanced path planning algorithms to ensure obstacles are avoided and that the operators are free for higher-level tasks. A sensor data fused AR view is displayed which helped the users pin point source information or help the operator with the goals of the mission. The paper studies a preliminary Human Factors evaluation of this system in which several interface conditions are tested for source detection tasks.
"]},{"key":"dc:title","label":"Title","values":["An augmented reality interface for multi-robot tele-operation and control"]}]}],"canonical_facts":{"dc:contributor":["Abhilash Pandya"],"dc:creator":["Lee, Sam Yung-Sen"],"dc:date.available":["2011-01-01T08:00:00Z"],"dc:description.abstract":["This thesis presents a seamlessly controlled human multi-robot system comprised of ground and aerial robots of semi-autonomous nature for source localization tasks. The system combines augmented reality interfaces capabilities with human supervisor's ability to control multiple robots. It used advanced path planning algorithms to ensure obstacles are avoided and that the operators are free for higher-level tasks. A sensor data fused AR view is displayed which helped the users pin point source information or help the operator with the goals of the mission. The paper studies a preliminary Human Factors evaluation of this system in which several interface conditions are tested for source detection tasks.
"],"dc:identifier":["https://digitalcommons.wayne.edu/oa_dissertations/381"],"dc:subject":["Augmented Reality","Human-Robot Interface","Multi-Robot","Electrical and Computer Engineering","Engineering"],"dc:title":["An augmented reality interface for multi-robot tele-operation and control"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_level":["Open Access Dissertation"],"thesis:degree_name":["Ph.D."]},"updated_at":"2026-07-24T05:58:57Z"}