Research projects
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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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A general digital twin driving mining innovation through statistical and logical modelling
The project is intended to support a more sustainable mining production process by connecting the process model, information model and business model through...
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A Theory of Proactivity: a Step Toward Human-Centered AI
Most of today's AI systems and robots are only capable of reactive behavior: responding to explicit user requests or external events. There is now a growing...
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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...
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Adaptive Purposeful Communication Planning for Collaborative AI
Scientific and societal actors agree that the future of AI and robotics lies in building collaborative AI systems. Communication is a key enabler for such...
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An AI-on-Demand Platform to support research excellence in Europe
The rapid advancement of AI technologies has led the EU to decide on hosting a research environment focused on scientific and ethical excellence, which grows...
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Androgen Receptor Mediated Gene Regulation
Androgens mediate their physiological function through interactions with receptors belonging to the steroid hormone receptor super-family. The receptors...
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ATOAM - Advanced Tooling by Additive Manufacturing
Additive manufacturing is a group of methods to build components and/or features on components layer by layer by adding material and solidifying by e.g...
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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...