Type | Spanish research project
Duration | -


While commercially available Autonomous Underwater Vehicles (AUVs) are routinely used in survey missions, a new set of applications exist which clearly demand intervention capabilities. The maintenance of permanent underwater observatories, submerged oil wells, cabled sensor networks, pipes and the deployment and recovery of benthic stations are but a few of them. Nowadays, these tasks are addressed using manned submersibles or work-class ROVs (Remotely Operated Vehicle), equipped with teleoperated arms. Current Intervention-AUVs (I-AUVs) prototypes are big and complex systems exhibiting only a limited set of functionalities including docking and fixed based manipulation on a subsea panel, as well as search and recovery of simple objects. However, as in the case of human manipulation, more sophisticated applications, like transporting and manipulating bulky objects, or assembling complex structures underwater, would require several I-AUVs working cooperatively. This project aims to achieve a step forward beyond the current underwater intervention state of the art. The development of a new kind of I-AUVs, able to work autonomously, alone or in a cooperative way, opens the door to face the multi-purpose underwater intervention problem, with potential applications not only in the offshore and nuclear industries, but also in archeology, oceanography or search and rescue missions, among other purposes.Partners: Universitat Jaume I de Castelló (Coordinator), Universitat de Girona, Universitat de les Illes Balears

Project leaders at UIB: Gabriel Oliver Codina | Antoni Burguera Burguera

Collaborators: Yolanda González Cid, Francisco Bonin Font, José Luis Lisani, Blair Thornton (Univ. of Southampton), Miquel Massot-Campos (Univ. of Southampton)

Funded by: Ministerio de Economía, Industria y Competitividad. Agencia Española de Investigación
Duration: 2018-2020

TWINBOT official website: http://www.irs.uji.es/twinbot/TWINBOT/


F. Bonin-Font, A. Burguera. Towards Multi-Robot Visual Graph-SLAM for Autonomous Marine Vehicles. In Journal of Marine Science and Engineering, MDPI, Special Issue Localization, Mapping and SLAM in Marine and Underwater Environments, vol. 8, no. 437, 2020.

Uso de cookies

Este sitio web utiliza cookies para que usted tenga la mejor experiencia de usuario. Si continúa navegando está dando su consentimiento para la aceptación de las mencionadas cookies y la aceptación de nuestra política de cookies, pinche el enlace para mayor información.

Aviso de cookies