Co-founder / CCO
AgriRobot
AgriRobot provides a configurable, certifiable safety software solution for autonomous agricultural machinery. This solution enables OEMs to achieve full autonomy by meeting functional safety standards like ISO 25119 without constant human supervision. The platform integrates obstacle detection, GNSS geofencing, and sensor fusion to ensure reliable and efficient field operation.
- Agriculture Technology
- Autonomous Vehicles
- Hardware
- Robotics
Updated 21 months ago
Funding
Raised to date
$2.8MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Current safety solutions for agricultural robots often rely on one-dimensional scanning, leading to frequent false positives and unnecessary operational stoppages in environments with crops and uneven terrain. This limits the potential for fully autonomous operation, requiring continuous human supervision and hindering efficiency.
Solution
AgriRobot provides a comprehensive safety system that enables agricultural robots to operate autonomously in the field without continuous monitoring. The system uses a combination of 2D and 3D scanning via lidar, radar, and cameras to create a robust obstacle detection database, differentiating between crops, weeds, livestock, and other potential hazards. This multi-sensor fusion approach minimizes false positives and ensures smooth robot operation while adhering to industry safety standards. AgriRobot offers solutions for new and existing agricultural vehicles, integrating with existing autonomous control systems to enhance safety and efficiency.
Target Audience
AgriRobot's primary customers are manufacturers of agricultural robots and OEMs seeking to enhance the safety and autonomy of their vehicles, as well as farmers looking to improve the efficiency and sustainability of their operations.
Features
- Multi-sensor fusion using 2D and 3D lidar, radar, and cameras for comprehensive obstacle detection
- Advanced algorithms developed according to safety standards, designed for CE marking and unsupervised field operation
- Geofencing capabilities to ensure robots stay within defined operational boundaries
- Integration with existing autonomous control systems
- Remote real-time access and teleoperation capabilities
- Over-the-air software updates
- Robot simulation using real-time field data for faster development and testing
- Compliance with ISO 12100, 18497, and 25119 standards for agricultural machinery safety