Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Excellence Cluster in Autonomous Field Robotics

Reference number
Coordinator Örebro universitet - Örebro universitet Inst f naturvetenskap & teknik
Funding from Vinnova SEK 1 492 606
Project duration October 2025 - March 2026
Status Ongoing
Venture Cluster of Excellence for Cutting-Edge Technologies - calls for proposals
Call Visions for world-leading research and innovation in strategic technology areas

Purpose and goal

This excellence cluster brings together leading researchers and industry partners to create robust, self-learning, and safe autonomous machines capable of operating in the complex and unpredictable conditions of the real world. The focus is on adaptability and resilience. Sweden has a unique position to lead the development of autonomous field robots for the mining, forestry, and construction sectors, where automation is essential for both sustainability and competitiveness.

Expected effects and result

The project will establish the foundation for a Swedish Excellence Cluster in Field Robotics by delivering a refined national vision, a complete implementation plan, and a committed multi-stakeholder consortium. These outcomes will enable coordinated long-term research, shared testbeds, industrial innovation, talent development, and global leadership in autonomous field robotics.

Planned approach and implementation

The project is organised in eight work packages, covering coordination and reporting, needs analysis, stakeholder workshops, research and education, long-term funding strategies, and international outreach. We include a gender equality strategy to promote female participation, inclusive research policies, and gender-neutral experiments, ensuring broad, unbiased, and safe outcomes. All activities are coordinated to produce a structured plan for a Swedish excellence cluster in field robotics.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 10 November 2025

Reference number 2025-03358