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Siemens technologies enable a strawberry harvesting robot train in virtual space
A strawberry robot harvests strawberries at Ráječek Farm thanks to Siemens technologies

Food & Beverages

FRAVEBOT s.r.o.

Brno Czech Republic

Farma Rájček
Siemens Xcelerator
The family-driven farm, Ráječek near Brno, tests a new generation of FRAVEBOT robots at this year’s strawberry harvest. Their task was to harvest ripe strawberries and monitor the plants’ and fruit’s health.
The robots are equipped with the SIMATIC S7-1500 controller and other Siemens technologies. The robot’s navigation is simulated and trained in the digital twin in the NVIDIA Isaac environment. AI to detect diseases and pests is trained using the digital twin of plants and fruits in the NVIDIA Omniverse. The FRAVEBOT (Fruit and Vegetable Robot), a robot monitoring and harvesting strawberries, is the result of collaboration between Fravebot (formerly Optisolutions), Siemens, the Ráječek family farm, and many fruit and vegetable growing experts.  The Ráječek farm greenhouses have two FRAVEBOTs: The FRAVEBOT Scout monitors the strawberry plants’ health and ripeness. The FRAVEBOT Harvestor, on the other hand, helps with harvesting.
Dividing work tasks between two robot types is beneficial in many aspects. The Scouts, whose primary task is to monitor plants, move around the greenhouses faster, and if they were to do some other work simultaneously, it would delay them. It is the other way round – working robots work effectively in cases where they drive out only where they are needed.
Vratislav Beneš, founder of FRAVEBOT
  • Same efficiency as human worker
  • Visual control of plants for future analysis 
  • AI training on synthetic data before harvest
  • Faster farm-to-market process 
Autonomous harvesting robot with Siemens technologies
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