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We believe we can help make food production more sustainable by enabling farmers around the world to make better use of agricultural field robots.
Even though robots are gaining ground in agriculture, they still need to be physically monitored by the farmer. Therefore, field robots are not yet profitable for most farmers.

Our vision is to provide a safety system for robot manufacturers, that will replace the need for the farmers to monitor robots in the field.

The shortage of labor and an ever-increasing demand for food, place enormous demands on even more efficient and cost-effective solutions in agriculture.
Our ambition is to implement algorithms for a safety solution that meets functional safety standards for all agricultural robots, and by that contribute to a more efficient and sustainable food production.

Keywords

robotics, safety, agriculture, ros2, perception, computer vision, machine learning, ai

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12
2021
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