Projects at AASS
The Center for Applied Autonomous Sensor Systems conducts many research projects, often in close collaboration with industry. Below is the complete list of projects.
The Center currently runs a larger cross-lab project called Semantic Robots, funded by the Swedish Knowledge Foundation (KKS). More about the Semantic Robots project can be found here.
Project list
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A context-aware framework for visual localization
The purpose of this project is to create a visual localization system – a system that identifies where it is in the world – that can operate autonomously for...
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AutoHauler - Automated Planning and Coordination of Autonomous Haulers in Underground Mines
The aim of this project is to develop AI-based software tools for automated online Load-Haul-Dump planning in underground mines. The objective is to render...
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BioLearning - Using bioindicators, biomarker profiles and machine learning to improve water quality analysis
The aim of the project is to develop highly sensitive and specific biological methods coupled to machine learning to improve water quality analysis. Water...
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CleanSat - SIG AI
Purpose and goal The project aims to streamline the planning of forestry measures by using satellite data with reference data from implemented forest clearin...
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DIDUNAS - Digital Identification & Support of Under-Achieving Students
DIDUNAS addresses an issue of concern in several countries of European Union, that is, students' under-achievement in mathematics. Students who do not achiev...
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Dynamic Agile Production Robots That Learn and Optimise Knowledge and Operations (DARKO)
Agile Production crucially depends on the effectivity of the intralogistics processes. Robots, as components of these processes, have the potential to be gam...
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Intelligent Management of Mixed Traffic in Mines
This project aims to help those who are involved in the process of deploying and managing fleets of transport vehicles in underground mines. The project will...
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Machine Learning to enhance AI Planning for Intelligent Transport Systems
AI planning and scheduling methods are fundamental in industrial transport applications, automating key stages in the overall process of assigning tasks and...
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MORE - Educating Europe`s Future Engineers in Next Generation Heavy Duty Mobile Machinery: Artificial Intelligence driven Robotisation, Energy Efficiency and Process Optimisation
MORE is an innovative European Industrial Doctorate (EID) research and training programme. The first of its kind that will address the need for dramatic...
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Newbreed
Newbreed is a doctoral programme within the focus area of Successful Ageing at Örebro University. The programme is co-funded by the European Commission throu...