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.
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...
Adaptive Automation for Face Drilling
The main objective of this project is to develop automation solutions for key aspects of the underground drilling process. More effective and safer undergrou...
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...
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...
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...
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...
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...
HoseProtect - Safe Remote Drilling through Predictive Modeling of Hydraulic Hoses
This project is about modeling flexible hydraulic hoses attached to mining machines and has the goal of predicting hose states under different machine...
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...
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...