The AQUABOT team is happy to announce that the AQUABOT project conducted a Workshop/Information Event on 30/07/2015, Thursday. The event included an overview of the project, presentations of its objectives, aims, developed methodologies and main results of the project. The event flyer may be found here.
The event was held in the Pefkios Georgiades Amphitheater, at A. Themistocleous Bldg., Cyprus University of Technology, on 30th of July 2015, from 18:30 to 20:30 and was open to the public.
The google map tag to the building can be found here.
The event program:
6:30pm – 7:00pm Dr. Savvas G. Loizou. “The AQUABOT Project”.
7:00pm – 7:15pm Dimitris Kleitou. “Offshore Aquacultures in Cyprus”.
7:15pm – 7:45pm Christos Constantinou. “Image-based Sensing”.
7:45pm – 8:15pm Dr. Svetlana Potyagaylo. “Underwater Autonomous Navigation”. [pdf]
8:15pm – 8:30pm Discussions and questions.
On 9 Dec 2014, the AQUABOT project will participate in the ICT24 Brokerage Event and GA at Brussels Expo organized by euRobotics AISBL. This event aimed to bring together researchers and industry from the robotics field to meet and discuss ideas and network.
The Information Event on the AQUABOT project as a part of the European Robotics Week will be held on 27/11/2014, Thursday. The event will include an overview of the project, brief presentations of its objectives and results obtained so far, live demonstrations, panel and free discussions. The event flyer may be found here.
Due to the space limitations of our lab, the participation in the event may be possible only with the registration process. The registration form may be downloaded from here and send back to firstname.lastname@example.org.
The detailed agenda of the event can be found here.
The event will be held at the Mechanical and Materials Science and Engineering Department, Sykopetritis Building, Darwin & Simou Menardou Str., Limassol. A google maps link: Sykopetritis Building .
The AQUABOT website has been launched!
The aim of the AQUABOT project is to develop a system that will automate the tasks of visual inspection of fish farm nets and fish farm moorings by using an underwater robotic vehicle. Our approach is to use a commercially available underwater robotic platform and develop a suite of underwater navigation, coverage and tracking algorithms that will enable this platform to autonomously create video records of fish-farm nets and moorings. The main implementation activities that this system is aimed at are autonomous fish-farm net and mooring visual inspections.