Project Contributions

Team Lead at SUNRISE-6G

Sep. 2024 – Present · EU Horizon Research and Innovation Programme

Pan-European 6G Federated Infrastructure Flagship Project – SUstainable federation of Research Infrastructures for Scaling-up Experimentation in 6G

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SUNRISE-6G Project
Project Focus
  • SUNRISE-6G provides a scalable, open and standards-compliant approach to experimentation and vertical application deployment in a pan-European Federation of 6G infrastructures, that provides access to a comprehensive library of 6G enablers. This project, coordinated by ISI/ATH, was selected under the Smart Networks and Services Joint Undertaking (SNS JU) second call for proposals, with a financial commitment to SUNRISE-6G part of the total €130 million fund dispersed across 27 innovative projects. This association is set to enhance a robust experimental infrastructure throughout Europe, taking a significant step towards the realisation of 6G technology.
Use Case Contributions
  • Collaborative Robotic Exploration of Mining Environments – This use case showcases the federation of Private Networks within an overarching 6G ecosystem (“Network of Networks” concept) with applications in harsh and demanding mining environment. The OULOU facility will act as an Aggregation Node, securely federating the stand-alone private network on wheels in Luleå site as a third party (non-end-to-end) resource domain fully leveraging the capabilities of the Open Federation framework. This scenario also showcases AI Plane federation concept, allowing the testbed to operate as the AIaaS “Supernode”. Thus, it is able to assist the resource-constrained site in zero-touch infrastructure optimization tasks.

Team Lead at AMBITIOUS

Sep. 2024 – Present · EU Horizon Research and Innovation Programme

Advanced CoMputing Continuum Solutions for Boosting DigITalization acrOss EUropean RegionS

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AMBITIOUS Project
Project Focus
  • The project AMBITIOUS drives European digital innovation for a sustainable future by addressing the challenges of climate change, urbanisation, energy production and occupational safety. Focusing on AI, 5G and IoT, the project empowers SMEs to compete globally, improve safety measures and minimise energy waste. It promotes inter-regional collaboration, commercialisation and growth opportunities for start-ups while providing testing grounds, funding and support for innovation activities. Through technology development and partnerships with large companies and academic institutions, the project accelerates innovation and improves the visibility and integration of SMEs in EU value chains.
Use Case Contributions
  • Innovative digital technologies for real-time monitoring – This use case aims to develop innovative digital technologies for real-time monitoring to achieve the goals of safety, efficiency and sustainability. The solution focuses on integrating high-bandwidth data streams, such as cameras and sensors, with 3D mapping and object detection by drones. Using IoT and edge computing, the system enables mass monitoring of different locations, remote sensing of parameters and real-time data processing. Key objectives include increasing safety, improving efficiency and meeting the European Commission's strategic framework for health and safety at work. The project aims to fill technological gaps in the areas of autonomy, data integration and real-time 3D mapping to create a holistic solution for various applications.

Contributor at PERSEPHONE

Sep. 2024 – Present · EU Horizon Research and Innovation Programme

Autonomous Exploration and Extraction of Deep Mineral Deposits

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PERSEPHONE Project
Project Focus
  • The continuous effort and increased demand of the raw materials are directing the mining companies to excavate minerals at greater depths. This trend is challenging the current mining operations and the existing traditional technologies towards the objective to retain profitability, while achieving the latest Green Deal environmental vision and securing human workers safety. A key enabler, to address these challenges and to foster a sustainable development of the mining industry, is the development and deployment of innovative technologies for resource efficient extraction of the EU’s raw materials, as well as near mine exploration of critical raw materials in currently non-extracted ore bodies in existing or abandoned ones. PERSEPHONE is aiming to address these challenges by developing of the pioneering technologies for pushing the limits of EU mining industry and embodiment of autonomous and integrated near mine exploration capability to access deep deposits of critical raw materials through hard-to-reach deep and abandoned mines. The overall concept and vision of PERSEPHONE will be achieved by reducing the size of mining machines currently adapted to the human scale and embedding autonomy for risk-aware navigation and full digitalization of the extraction process by digital twin creation and key enabling technologies validation at TRL 5. Additionally, PERSEPHONE is introducing completely novel approaches in online near mine exploration core analysis and overall integration of related data analytics to the mine expansion. Thus, PERSEPHONE allows to foster green transition by reducing the cost and waste generated from deep-mining operations and foster the vision of zero human presence in highly hazardous areas. These will allow to achieve PERSEPHONE’s overall goal to digitalize and automate extraction value chain by creation of new concepts of energy-efficient autonomous drilling machines with advanced perception capabilities for navigation, face drilling, and core extraction, which will enable data-driven digital twin creation and geological modelling for further enhanced decision support and optimal extraction planning.
Role
  • The Robotics and AI group at LTU is a project coordinator with a major technical role on autonomy development.

Contributor at ARCTIC EDGE

Sep. 2024 – Present · EU Northern Periphery & Arctic Programme

Supply Chain Integration for Interoperability & Enhanced Resilience of SMEs in remote regions

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ARCTIC EDGE Project
Project Focus
  • The Arctic Edge project aims to strengthen supply chain operations in the NPA Region, addressing regional challenges. It will develop and implement a cloud-based, IoT, and MQTT technology-driven solution for rural manufacturing NPA SMEs, aiming to optimise supply chain processes. The project seeks to revolutionise supply chain practices within the NPA region by introducing innovative technologies and promoting their widespread application, particularly among rural manufacturing SMEs. While existing technologies are available, their adoption, especially in SMEs' supply chains, remains limited. Arctic Edge's objective is to enhance efficiency, resilience, and adaptability in SMEs' supply chain operations, fostering a mental shift towards digital adoption.
Role
  • The Robotics and AI group at LTU is responsible of developmenting and implementing cloud-based, IoT, and MQTT technology-driven solutions for a seamless supply chain infrastructure.

Course Owner at REBOOT SKILLS

Oct. 2023 – Oct. 2024 · Digital Europe Programme

Rebooting manufacturing industry with digitalisation skill development

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REBOOT SKILLS Project
Project Focus
  • Rebooting manufacturing industry with digitalisation skill development [REBOOT SKILLS] is to enable workers who are at present or who wish to be employed in the manufacturing sector to access advanced digital upskilling opportunities that can help them keep pace with the latest developments in Cybersecurity, Robotics, Artificial Intelligence (AI) and the Industrial Internet of Things (IoT). The project, brings together a novel mix of EU education providers and professional organizations to deliver a bespoke upskilling model of advanced digital skills-based through short training course that will jointly empower workers and the manufacturing industry at this critical time for European manufacturing industry ecosystem.
Course
  • Industrial Automation – Begin your journey into innovation with this course: This course provides a comprehensive overview of industrial automation, covering essential components (sensors, actuators, relays), control logic, state machines, and programming techniques to design, implement, and maintain efficient automated systems.

Contributor at 5G EDGE INNOVATIONS FOR MINING

Dec. 2021 – Nov. 2024 · Vinovva Project

Advanced and innovative digitization

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5GEIM Project
Project Focus
  • The project has made significant progress in the development and testing of 5G and edge computing solutions for the mining industry. The developed solutions are used to increase safety, productivity and autonomy in mining environments. We have tested and demonstrated advanced solutions, including sensors and 3D visualizations, that are connected to 5G networks underground in Boliden´s mine in Kankberg outside Skellefteå.
Role
  • The Robotics and AI group at LTU plans to work on pilot demonstrations of 5G-connected drones in a mining environment, innovative use of modern AI technology and a hardware and software stack for edge-to-cloud applications.

Project Stakeholder at AERO-TRAIN

Sep. 2021 – Dec. 2024 · Marie-Sklodowska-Curie Innovative Training Network (ITN) - European Training Network (ETN) Project

AErial RObotic TRAINing for the next generation of European infrastructure and asset maintenance technologies

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AERO-TRAIN Project
Project Focus
  • By leveraging on the strengths available in Europe in robotics and AI, the AERO-TRAIN consortium strives to set a landmark in the present European Higher Education Area as the first research-based training initiative in Structural Health Monitoring & Repair with aerial robots. Our aim is to train a new generation of creative, entrepreneurial, and innovative Early Stage Researchers (ESRs), to become the future leaders in the field of Aerial Robotic Technologies for Inspection and Maintenance. Our training activities span innovative research in experimental, computational and applied research – equipping our Early Stage Researchers with a holistic view from lab to “real world” applications, and a creative mind-set with special attention to future industrial applications of newly developed technology.
ESR Project
  • Achilleas' PhD project focuses on augmented reality for enhancing semi-autonomous remote aerial manipulation. The goal is to ensure that only the most relevant information between the human operator and the autonomous system are shared intuitively.
    • Handle the seamless integration/fusion of the robotic modelling, path planning, obstacle avoidance, low level flying control and the environmental perception.
    • Develop algorithms for autonomous robot to user suggestions.
    • develop methods for user to robot intuitive command.

Contributor at G-DRONES

Dec. 2021 – Apr. 2023 · Vinovva Project

Tackling sustainability, environmental and climate challenges in the mining and metals industry

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G-DRONES Project
Project Focus
  • G-DRONES aims to demonstrate the autonomous operation of the rapid deployment of aerial robotic solution for aerial inspection of areas after blasting and the overall integration of this technology to the current mining production systems. G-DRONES will produce autonomy technology for aerial inspection missions on operating sites that are dangerous for human based operations, while it will aim for a full integration in the mining production processes, while enabling efficiency and increasing productivity.
Role
  • The Robotics and AI group at LTU will aim at demonstrating (i) increase production efficiency, (ii) increase cost efficien, (iii) create more 250 000 SEK/hour of savings from immediate after blasting inspection and reducing the waiting times before continuing the loading, (iv) create a safe work space, increase acceptance of the mining industry from the reduction of risks for workers and improve the overall working place attraction.