Autonomous self-driving in greenhouses
This case study explores how Cyberworks Robotics and FRAMOS enabled autonomous greenhouse tractors with 3D vision, reducing labor and increasing safety.
"Autonomous mobility in greenhouses is now a scalable, GPS-free reality-powered by depth vision."
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Cyberworks Robotics partnered with FRAMOS to retrofit a fleet of greenhouse tractors at Fernlea Flowers-the first deployment of its kind globally. The goal? Improve safety and efficiency while reducing labor during the COVID-19 pandemic.
By integrating Intel® RealSense™ D435i depth cameras-ruggedized and supported by FRAMOS-Cyberworks created a flexible autonomous driving solution. The system senses its environment in real time, avoids obstacles dynamically, and scales across an entire fleet using cloud-based fleet management.
Industry: Smart Agriculture & Horticulture
Supporting high-efficiency greenhouse operations with autonomous mobility and advanced sensing systems.
Application: Self-Driving Electric Tractors
Retrofit existing vehicles for autonomous path planning and obstacle avoidance inside GPS-denied greenhouse environments.
Technology Used: RealSense D435i + FRAMOS Integration
Depth sensing with FRAMOS-ruggedized Intel® RealSense™ D435i cameras and custom cabling for greenhouse conditions.
Result: Scalable, Safer Operations
Reduced staffing needs and improved distancing via cloud-based fleet control and real-time obstacle sensing.
Want the full technical and implementation details?
Download the full case study PDF to discover how FRAMOS and Cyberworks Robotics built an autonomous self-driving tractor system for dynamic greenhouses-without relying on GPS.
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