Mapping and monitoring header
Research projects and initiatives
Research projects and initiatives
- project addressing Risk, Reliability and Ice data in the Arctic marine environment
Data and knowledge about the marine environment in arctic regions are lacking. How then to achieve a sufficient safety level for humans and the environment at an acceptable cost? Through multidisciplinary research, combining expertise in civil, marine, cybernetics, remote sensing, mechanical, statistics, economy, management, and history, science based tools for rational design of risk and safety in the Arctic Marine and Coastal environment are to be developed. Typical end-users are shipping companies, local communities, oil companies, regulatory bodies, consultants and construction companies.
The Applied Underwater Robotics Laboratory (AURLab) was founded in 2011 and is an inter-faculty collaboration to promote the application and use of underwater robotics in basic engineering and research across a wide variety of scientific disciplines and industries. AURLab is part of the Department of Marine Technology (IMT) with offices located at Tyholt (Marinteknisk Senter) and Trondheim Biological Station (TBS).
Autonomous underwater monitoring of kelp-farm biomass, growth, health and biofouling using optical sensors.
Project period: 2021-2025
As commercial kelp farms continue to expand in Norway, autonomous methods for monitoring of growth, biomass and biofouling become increasingly important.
This project aims to develop optical methods for these purposes.
The Nansen Legacy team consist of over 140 researchers from ten Norwegian research institutions. The research team includes interdisciplinary arctic marine expertise within physical, chemical, and biological oceanography, as well as geologists, modelers and underwater robotic engineers. Jointly they will investigate the past, present and future climate and ecosystem of the northern Barents Sea.
The consortium, supported by the Norwegian Research Council, is a joint effort in establishing a world-leading institutional collaboration between strong universities and industry actors from both countries. In addition to NTNU, which is coordinating the effort, partners institutions are the University of São Paulo, the Federal University of Rio de Janeiro, the University of Campinas, Statoil, Petrobras and GCE Subsea. It is also supported by the Norwegian Centers of Research-based Innovation SFI SUBPRO and SFI MOVE.
EU COST Action CA15219 on “Developing new genetic tools for bioassessment of aquatic ecosystems in Europe” – or DNAqua-Net.
The goal of DNAqua-Net is to nucleate a group of researchers across disciplines with the task to identify gold-standard genomic tools and novel eco-genomic indices and metrics for routine application for biodiversity assessments and biomonitoring of European water bodies. Furthermore, DNAqua-Net provides a platform for training of the next generation of European researchers preparing them for the new technologies. Jointly with water managers, politicians and other stakeholders, the group develops a conceptual framework for the standard application of eco-genomic tools as part of legally binding assessments.
HYDRALAB+ is a unique European network in the hydraulic research community. A project aiming at structuring the access to unique research infrastructures for studying interactions between water and environmental elements, sediment, structures and ice. NTNU offers access to the Bay of Hopavågen in Mid-Norway and to specialised field instrumentation for hydrodynamic research.
The project "Next Generation subsea inspection, maintenance and repair operations" developed novel integrated sensor platforms with robust perception methods and collision-free motion planning algorithms for subsea inspection and light intervention operations.
The NORHYDRO project will map the poorly known diversity of polyp species living at ocean floor of Norway, as well as contribute to simpler species identification of hydroids for experts and non-experts.
The PACE project will implement state of the art tools in fish biopsy and tracking to model the diversity and distribution of viruses, bacteria, and parasites of Atlantic salmon (Salmo salar) and sea trout (Salmo trutta) along a latitudinal gradient in Norway and evaluate how these affect performance.
Through PlastOPol, NTNU will, in cooperation with the Ålesund region’s Port Authority, Møre og Romsdal county and Ålesund municipality, develop a prediction model based on data about plastic in the oceans and local conditions.
The model will make it possible to observe the amount of plastic gathered and determine where the plastic originated from. The goal is to achieve better targeted ocean clean-up.
The Polyport project will build a DNA database of the Polychaeta, Annelida in Norwegian waters.
Researchers at NTNU AMOS work between the disciplines to create a world-leading center for autonomous marine operations and control systems. NTNU AMOS contributes with fundamental and interdisciplinary knowledge in marine hydrodynamics, ocean structures, marine biology, marine archaeology, and control theory.
The research results are being used to develop intelligent ships and ocean structures, autonomous unmanned vehicles (under water, on the sea surface, in air and space) and robots for high-precision and safety-critical operations in harsh environments.
SUBPRO is a Centre for Research-based Innovation (SFI) within subsea production and processing.
The primary objective of SUBPRO is to become a leading international subsea research centre that provides top quality candidates, knowledge and technology innovations. This will be done in partnership with the most important industrial players in the subsea field.
The European Aquatic Animal Tracking Network's overarching objective is to ensure a transition from a loosely-coordinated set of existing regional telemetry initiatives to a sustainable, efficient, and integrated pan-European biotelemetry network embedded in the international context of already existing initiatives.
The UNLOCK project addresses supervisory risk control of autonomous systems and operations. The outcomes of this ambitious project will support and enhance the achievement of higher-level autonomy and intelligence in advanced control systems through the integration of online risk modelling, testing and verification of safe responses of the control system.