We’re excited to share that AgriRobot is being supported by the European Space Agency (ESA) to advance our GEOFENCE project, a high-integrity geofencing solution that will make autonomous agricultural machines safer, more reliable, and more resilient in challenging field conditions. 

Following the successful completion of the Kickstart in May 2025 which confirmed both technical and commercial viability, we are now moving forward toward finalizing and commercializing the GEOFENCE solution. 

Lost or degraded GNSS signals remain a major frustration, causing robots to stop, reducing efficiency and sometimes impacting yield. 

GEOFENCE is designed to address this challenge, delivering a geofencing system far more robust than GNSS-only approaches, especially near difficult field boundaries. With advanced GNSS integrity features and Galileo OSNMA for spoofing protection, it strengthens safety, uptime, and security. A major focus is developing fused Protection Level algorithms that combine multiple sensors, ensuring the robot always knows both its position and the certainty behind it. 

Our work includes creating a dynamic safety zone that adapts to vehicle speed and integrity levels, bringing our radar inertial odometry and fused integrity algorithms to production quality, and building a practical process for surveying and managing geofences and running customer pilots for real world validation. 

The goal is a production ready GEOFENCE software stack with validated fused Protection Level algorithms, practical deployment tools, and proven reliability through field testing. This will enable a certifiable, user-validated, and commercially ready high-integrity geofencing service for future autonomous agriculture. 

When deployed, GEOFENCE will enable: 

• Continuously monitored, high-integrity position + uncertainty bounds — even where GNSS alone degrades.  

• Dynamic geofence enforcement that adapts to the robot’s state and integrity level — with automatic safety actions if boundary-violation risk becomes unacceptable.  

• Operational continuity: allowing robots to keep working even in GNSS-challenged areas where traditional systems would stop.  

• Detection of signal anomalies or system failures, ensuring safety remains top priority.