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An educational perspective on the Aquabots development platform for autonomous navigation

Open access

An educational perspective on the Aquabots development platform for autonomous navigation

Open access

Samenvatting

Aquabots is a development platform for autonomous navigation which was initiated in 2010 by the Rotterdam University of Applied Sciences and system integrator Imtech. In 2014, the first student team successfully crossed the river Nieuwe Maas with their Remotely Operated Vessel (Aquabot) EindMaas. By structuring the project as stacked research, where each team builds upon the work of their predecessors, significant time savings and deeper knowledge development have been achieved. This modular concept, starting from 2017, has enabled various, consecutive student teams to develop individual components of the system architecture. This approach ensured continuity, prevented knowledge loss, and allowed teams to focus on advancing the technology rather than redoing previous work. Over the years, as developments have progressed, it has become increasingly difficult to preserve and extend the knowledge base. To combat the major drawback of various consecutive student teams, a community system will be set up, consisting of teachers, company representatives and students who have contributed to the Aquabots project over the years. This will require active and fruitful cooperation and knowledge sharing, not only from the academic side (students plus teachers), but also from the business sector. We believe that the incubation phase of followup multidisciplinary student teams working on the Aquabots project can be shortened significantly. In this way common resources as well as knowledge can accumulate, academic potential can be explored, and the related business sector will have access to building blocks which can be applied to exploit their business potential. This paper documents best practices and challenges of such a modular learning community.

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Organisatie
Lectoraat
Gepubliceerd inProceedings of 2025 Symposium on Maritime Informatics and Robotics (MARIS) - https://doi.org/10.1109/MARIS64137.2025 IEEE
Datum2025-06-26
Type
DOI10.1109/MARIS64137.2025.11139683
TaalEngels

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