Aalto Factory of the Future

Aalto Factory of the Future

The Aalto Factory of the Future is a facility for innovation and education of future industrial automation, industry 4.0 and beyond. It is a space shared by humans, robots and production stations, which serves as a platform for projects in the area of advanced information technologies applied to future production systems. It focuses on achieving revolutionary high flexibility by exploiting the architecture of modular autonomous intelligent production units.

We are interested in enabling technologies for production systems that include: Artificial Intelligence, Industry 4.0 architecture, Industrial Internet of Things, wireless communication (5G, Wifi6), edge/fog/cloud computing paradigms, virtual integration, digital twins, remote commissioning, operation and predictive maintenance, human-robot collaboration, simulation, virtual and augmented reality. We invite companies and other stakeholders to collaborate with us!

Aalto Factory of the Future videowall
Industrial machine and person coding

Research Focus

From a research and innovation perspective the main capability of the Aalto Factory of the Future is focused on software architecture for industrial automation. We are particularly working on integrating flexible concepts for software deployment and reconfiguration with IIoT, digital twins and recent trends in IT-technology.

YuMI with blocks

Collaboration Possibilities

Research and innovation work on software concepts shall be primarily supported by

  • Collaborative Innovation Projects such as Business Finland and European Union projects (e.g., EIT Manufacturing, Reboot IoT Factory)
  • Student work (Master, PhD students)

Contact us for collaboration possibilities: [email protected]

Our Industrial, Research, and Educational Projects

Aalto Factory of the Future has been involved in various European and national projects:

Follow us

Aalto Factory of the Future. Kuva: Mikko Raskinen / Aalto-yliopisto

Aalto University receives 1 million euros for software-centric industrial automation program

Schneider Electric donation of industrial automation technology, software licenses, and teaching support is to answer for growing need for automation expertise.

Man operating a paper machine rotor with iPad

Aalto University joins Reboot IoT Factory to reform industry with digital solutions – aiming at an impact of EUR 1 billion

Aalto Industrial Internet Campus has been invited to participate in the second phase of Reboot IoT Factory ecosystem that develops digital solutions for the Finnish manufacturing industry.

Aalto Factory of the Future

Factory of the Future deploys indoor 5G and WiFi6 to support manufacturing research

Students and researchers can use the new facility to explore the applications of cutting-edge communications technologies in Industry 4.0.


Latest Scientific Results

Bidding a Battery on Electricity Markets and Minimizing Battery Aging Costs: A Reinforcement Learning Approach

Harri Aaltonen, Seppo Sierla, Ville Kyrki, Mahdi Pourakbari‐kasmaei, Valeriy Vyatkin 2022 Energies

An overview of machine learning applications for smart buildings

Kari Alanne, Seppo Sierla 2022 Sustainable Cities and Society

A Methodology for Generating a Digital Twin for Process Industry: A Case Study of a Fiber Processing Pilot Plant

Mohammad Azangoo, Lotta Sorsamaki, Seppo A. Sierla, Teemu Matasniemi, Miia Rantala, Kari Rainio, Valeriy Vyatkin 2022 IEEE Access

Imbalanced multiclass classification with active learning in strip rolling process

Jifei Deng, Jie Sun, Wen Peng, Dianhua Zhang, Valeriy Vyatkin 2022 KNOWLEDGE-BASED SYSTEMS

Reinforcement learning for industrial process control

Jifei Deng, Seppo Sierla, Jie Sun, Valeriy Vyatkin 2022 Computers in Industry

On Modelling of Edge Datacentre Microgrid for Participation in Smart Energy Infrastructures

Nikolai Galkin, Chen-Wei Yang, Yulia Berezovskaya, Mattias Vesterlund, Valeriy Vyatkin 2022 IEEE Open Journal of the Industrial Electronics Society

Monitoring design pattern for distributed automation systems in IEC 61499 and its formal modelling

Pranay Jhunjhunwala, Alois Zoitl, Udayanto Dwi Atmojo, Valeriy Vyatkin 2022 2022 IEEE 31st International Symposium on Industrial Electronics, ISIE 2022

On enhancing reconfigurability of I/O connection and access in IEC 61499

Tuojian Lyu, Udayanto Dwi Atmojo, Valeriy Vyatkin 2022 2022 IEEE 31st International Symposium on Industrial Electronics, ISIE 2022

Whitening CNN-Based Rotor System Fault Diagnosis Model Features

Jesse Miettinen, Riku-Pekka Nikula, Joni Keski-Rahkonen, Fredrik Fagerholm, Tuomas Tiainen, Seppo Sierla, Raine Viitala 2022 APPLIED SCIENCES
More information on our research in the Research database.
Research database
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