Development of vision-based object tracking fish robot
dc.contributor.author | Ji, D | |
dc.contributor.author | ur Rehman, F | |
dc.contributor.author | Ali Ajwad, S | |
dc.contributor.author | Hassnain Mohsan, SA | |
dc.contributor.author | Ali Amjad, A | |
dc.contributor.author | Zhou, S | |
dc.contributor.author | sharma, sanjay | |
dc.contributor.author | Sutton, R | |
dc.date.accessioned | 2022-08-08T07:10:40Z | |
dc.date.available | 2022-08-08T07:10:40Z | |
dc.date.issued | 2022-04-20 | |
dc.identifier.isbn | 9781665452007 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/19514 | |
dc.description.abstract |
This paper focuses on the development and vision-based object tracking control of a fish robot. Its efficiency towards target tracking is demonstrated in a water tank. Inspired by the maneuvering and stability of Tuna fish, the fish robot is designed by a single actuator located at the rare part of the fish body. The precise maneuverability characteristics of the fish robot is achieved by the motion of a caudal fin. A servomotor is involved to control the oscillation of the caudal fin. A vision-sensor is integrated into fish robot to gain information related to Cartesian coordinates of the targeted object by implementing a color-based filtering algorithm. An object tracking algorithm is designed which performs the decision-making task for the fish robot while identifying and following the targeted object. The locomotion of the fish robot in various directions is tested experimentally by achieving effective performance of the proposed targeted object following task. | |
dc.format.extent | 7-11 | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.subject | Fish robot | |
dc.subject | autonomous underwater vehicles | |
dc.subject | vision-sensor | |
dc.subject | target tracking | |
dc.title | Development of vision-based object tracking fish robot | |
dc.type | conference | |
dc.type | Conference Proceeding | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000839154900002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.date-start | 2022-04-20 | |
plymouth.date-finish | 2022-04-22 | |
plymouth.volume | 00 | |
plymouth.conference-name | 2022 UKACC 13th International Conference on Control (CONTROL) | |
plymouth.publication-status | Published | |
plymouth.journal | 2022 UKACC 13th International Conference on Control (CONTROL) | |
dc.identifier.doi | 10.1109/control55989.2022.9781455 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Marine Institute | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1109/control55989.2022.9781455 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.type | Conference Paper/Proceeding/Abstract |