Autonomous plant tissue robotic collectors with multi-coordinated soft grippers

Overview

The autonomous plant tissue robotic collectors are designed to revolutionize the way plant tissue samples are collected in greenhouses. These advanced robotic systems use mobile arms equipped with multi-coordinated soft grippers to handle, collect, and store plant tissue samples efficiently. The integration of machine learning allows the system to identify plant species and the optimal sampling site, enhancing precision and reducing human error in agricultural research and development.

Technical specifications

Key features:

• Multi-coordinated soft grippers: Capable of handling delicate plant tissues without causing damage.
• Machine learning integration: Utilizes AI to detect plant species and determine precise sampling sites.
• Robust construction: Built with durable materials to withstand challenging greenhouse environments.
• Mobile arm system: Combines a multijoint robotic arm with a wheeled platform for versatile movement.
• Pneumatic actuation system: Ensures smooth and energy-efficient control of the grippers.
• Hybrid position-force controller: Adapts force according to plant species and characteristics, ensuring optimal sample collection.

Technology readiness level

This technology is at TRL 5, indicating that the system has been validated in a relevant environment. Further development, testing, and validation are planned to take place in various greenhouses in Jalisco over the next 18 months, aiming for full commercial deployment.