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Closing the loop from observation to action is a fundamental principle underlying countless types of systems. It can be measuring the temperature in a smelting furnace to determine whether the heat should be increased or decreased. It can be detecting obstacles in a workspace to plan and execute the tasks of a robotic arm or a drone. It can even be monitoring the lifecycle of livestock to determine which animals should be selected for breeding. While the application domains vary widely, the underlying methods are transferable across industries. Our solutions are applied in sectors including food and process industries, energy, transportation, maritime operations, the public sector, healthcare, and public safety.
We turn research into solutions.
We support projects ranging from small, well-defined technical challenges to long-term strategic partnerships. Our partners range from large industrial corporations to entrepreneurs at the idea stage. We can also assist with applications for public funding and research support programs.
We support our partners through research and innovation projects that address both the technical challenge and the operational context in which the solution will be deployed. Solutions are developed in close collaboration with users, ensuring that the methods are robust, explainable, and transferable. Our work spans fundamental algorithmic research and simulation through system integration, hardware-in-the-loop testing, laboratory validation, and field trials.
Our experienced researchers combine control engineering with state-of-the-art robotics and AI. We take problems all the way from mathematical formulation to running code on real-world hardware. Together with our partners, we move technology beyond the laboratory and into real industrial and operational environments. Our broad range of application areas enables us to identify innovative solutions across industries, while maintaining the framework and processes needed to protect our customers' intellectual property. As part of SINTEF, we have seamless access to complementary expertise, such as computer vision and communication systems, for projects that benefit from multidisciplinary collaboration.
Through the Norwegian Centre for Embodied AI (NCEI), we are advancing the state of the art in physical AI and robotic manipulation. We contribute to strengthening Norway's and Europe's competitiveness through participation in EU-funded projects, forums, and standards development committees.
In ROBPLAN we have contributed to moving the research front by developing methods for AI-based planning and acting - AI planning - to enable robust autonomous robot missions. We have demonstrated results on industrial use cases with mobile...
The primary objective of SAM is to optimize demanding industrial processes by developing advanced physical models and machine learning algorithms, and integrating new online sensors where real time data is currently limited or lacking.
The aim of TAPI (Towards Autonomy in Process Industries) is to move Norwegian land-based process industries towards more autonomous operations by exploring the intersection between machine learning (ML) and more traditional model-based control...
European consortium to standardise fuel cell modules for heavy duty applications: the “StasHH mission”
We will develop a set of wearable technologies and miniaturized sensors which protect and empower first responders, and their K9 companions, during response operations (natural calamities, e.g., earthquakes, and man-made attacks, e.g., terrorist...
Madshus is the oldest, still operating, producer of cross-country skis. The factory delivers advanced racing and entry level skis with regards to material quality, design, weight and defined ski properties.
The subsea industry is constantly pushing towards reduced costs and increased safety in subsea inspection, maintenance and repair operations. Therefore we have established the SEAVENTION project: Autonomous subsea intervention - empowered by people...
There are significant resources of wind power in areas where few people live, and which cannot be exploited due to a weak grid. A solution is to produce hydrogen and export it.
Development of methods and tools that will enable the online estimation and identification of moving objects and support the robot interaction and manipulation of such objects in real time.
Giantleap aims to increase lifetime and reliability of fuel cells in buses
SINTEF pushes the boundaries of autonomous drones. Mobile and autonomous sensor systems constitute a priority area at SINTEF. We offer a large range of relevant technologies and competence within this field for mobile and autonomous systems in the...
Autonomous mobile systems are capable of reasoning about and solving unstructured problems without the direct intervention of humans, and central to future exploitation of the ocean space.
Improving Lifetime of Fuel Cells by Smart Control and Prognostics
Testing wells simultaneously and with no production loss
The ESA wants its operations on other planets to have greater mobility and manoeuvrability. SINTEF researchers are looking into whether snake robots could be the answer.
Their brains are still no more advanced than that of a one-year-old, but scientists want robots to be as smart as teenagers – at least.
Caption header image: SINTEF
