The autonomy system
The autonomy system can be explained by four core parts; See, Understand, Plan, Act. Together, these four parts make up the zeabuz autonomy platform, which can navigate our vessels safely around the clock. Do you want to know more? Click on a link below to read more about the technologies behind these core parts.
In order for our vessels to navigate autonomously, they need to understand their surroundings to make the right decisions. We are solving this challenge with the help of algorithms that use artificial intelligence. These algorithms use sensor data together with experience from previous scenarios to make decisions. The more experience the algorithms get from different scenarios, the better decisions they make.
We aim to create the most experienced captain in the world. We will achieve this by training our algorithms in a digital world. In this digital world, we can test any situation imaginable without putting anyone at risk. Additionally, we can run several scenarios in parallel, at high speed, and with many repetitions, thereby generating more experience than would ever have been possible in the real world.
We are able to achieve these digital tests by creating a fully digital representation, a digital twin, of the vessel and the zeabuz autonomy system, and placing that into a game-like representation of the operational area, a simulator.
See the video below if you want to see the digital twin of milliAmpere 2 in action.
Simulation of a crossing with the digital twin of milliAmpere 2 in Ravkloa, Trondheim.
How can we build trust in complex, autonomous mobility systems?
We have developed verification concepts that integrate methods, tools, simulation-based testing, use of digital twins, full-scale testing, citizen engagement methodologies and environmental impact assessment.
This with the purpose to transparently provide trustworthiness to all stakeholders, and in turn unlock the potential for scaling up autonomous and sustainable mobility solutions through a Trust Ecosystem.