Projects & Collaborations

Our research projects and industry collaborations are secured through competitive national and international funding programs. We have a history of successful research collaborations spanning several roles: project coordinator, project beneficiary, and advanced research/academic partner.
Logos of 5 different funding agencies
Our research projects and industry collaborations are supported by several funding agencies.

Active Projects

Project NameFunding ProgramDurationShort DescriptionRole
ENGAGEEuropean Union’s Horizon Europe (HE): MSCA Doctoral Networks2025 to 2029Educating Europe’s future engineers for the next generation of mobile working machines: AI driven sustainability, productivity, and safety.Project coordinator and beneficiary
XSCAVEEuropean Union's Horizon Europe (HE): Research and Innovation Actions (RIA)2025 to 2028Explainable, safe, contact-aware planning and control for heavy machinery manipulation and navigation.Project beneficiary
AuroraBusiness Finland: Co-Innovation2025 to 2027Automated and connected machines.Project coordinator and beneficiary
SenCANBusiness Finland: Research to Business (R2B)2025 to 2026Automated sensor calibration and miscalibration detection for mobile machinery.Project beneficiary for research commercialisation
AI-DOCFinnish Centre for Artificial Intelligence (FCAI): AI-DOC2024 to 2027The Finnish Doctoral Program on Artificial Intelligence.Funding for 2 PhD researchers
SustAInLivWorkEuropean Union’s Horizon Europe (HE): Teaming2023 to 2029Center of Excellence on AI for life and work in Lithuania.Advanaced partner and project beneficiary
PROFI 7Research Council of Finland: PROFI 72023 to 2028System on Chip (SoC), wireless technologies and robotics for intelligent machines.Lead beneficiary
TRISTANEuropean Union's Chips Joint Undertaking (CHIPS-JU)2023 to 2026Expand, mature and industrialise the European RISC-V ecosystem to compete with existing commercial/proprietary alternatives.Project beneficiary

Collaborations

Our research and project collaborations are international, intersectoral, and interdisciplinary. If you are interested in future collaboration, please refer to our Research OpportunitiesResearch Infrastructure, and Research Roadmap 2025-2030.

International Collaborations

Our deep networks and contacts with diverse industry and academic organisations enable us to collaborate across several European countries. Figure 1. illustrates our collaborations which are spread across Finland, Sweden, Germany, Austria, Lithuania, Estonia, and Czechia.

Map of 7 European countries: Finland, Sweden, Germany, Austria, Estonia, Lithuania, and Czechia. Map pins of collaborator companies located on the map.
Figure 1. International Collaborations of Autonomous Mobile Machines Group

Intersectoral Collaborations

Autonomous mobile machinery are complex system of systems: low product volumes; high product cost; and high product variance. Our collaborations integrate diverse intersectoral perspectives spanning diverse supply‑chain organisations, applications, ecosystems, and academic partners, as illustrated in Figure 2.

Autonomous Mobile Machine Group text box with arrows to suppliers, manufacturers, academia, and ecosystems.
Figure 2. Intersectoral Collaborations of Autonomous Mobile Machines Group

Interdisciplinary Collaborations

Since autonomous mobile machinery are complex, their development and deployment require interdisciplinary efforts. Our collaborations integrate a holistic and systemic approach spanning across the fields of mechanical engineering, robotics, mechatronics, control engineering, computer vision, signal processing, software engineering, simulation, artificial intelligence, safety, and business strategy. Check out our Research Roadmap 2025-2030 and Shared Research Infrastructure for more information.

Past Projects

Project NameFunding ProgramDurationShort DescriptionRole
MORE-ITNEuropean Union’s Horizon Europe (HE): MSCA Doctoral Networks Formerly known as (MSCA-ITN-EID)2020 to 2024First industry-academia partnership to jointly educate researchers on heavy-duty mobile machinery: Artificial Intelligence driven robotisation, energy efficiency and process pptimisation.
Project coordinator and beneficiary
DSIITampere University: DSII2021 to 2024Industry co-funded PhD positions: Safety Concepts for Collaborative Autonomous Mobile Machines; and Methodologies and Tools for Autonomous Mobile Machines.Funding for 2 PhD researchers
FEMMaBusiness Finland and SIX Mobile Machines Cluster2021 to 2024Future electrified mobile machines from a component, machine, and worksite perspective.Project coordinator and beneficiary
safeRLNational Science Foundation, USA and Academy of Finland, Finland (NSF-AoF Collaborative Research)2022 to 2024Safe Reinforcement Learning in non-stationary environments with fast adaptation and disturbance prediction.
Project beneficiary
AI-Hub TampereEuropean Union's ERDF2019 to 2023Provide AI related workshops, pilots, and demos to regional companie in the fields of energy efficiency, simulators, and optimal control. Project beneficiary
PEAMSBusiness Finland: Co-Innovation2021 to 2023Platform economy for autonomous mobile machines software development.Project lead
Himmeli Robotics (in Finnish)Business Finland: Research to Business (R2B)2019 to 2021Combining 2D/3D sensors and AI algorithms in tested and validated platform that can be easily integrated to any working machine.Project beneficiary for research commercialisation
MIDASDIMECC Oy: LIFEX2018 to 2020Machine learning for industry applications: load weight estimation on excavators, learning from demonstration, and reward learning for RL.Project beneficiary