The 3D manipulator is an automated device that can imitate human arm movements and has high flexibility and adaptability. This solution aims to design a 3D manipulator with high precision, fast response and strong load capacity to meet the needs of complex industrial application scenarios. The manipulator will achieve excellent performance through optimized mechanical structure design, electrical control system design and software algorithm design.
Based on deep learning and large-scale image training, it can accurately identify comprehensive information such as fruit and vegetable categories, positions, and confidence levels in images
From forward and inverse kinematics, motion to dynamics, from joint coordinate systems to Cartesian coordinate systems
Force feedback control combined with visual recognition to achieve precise object grasping
Accurate classification under high-speed dynamic conditions
Accurately dosing without compressing seedlings, evenly spraying, and timing and quantification
Reduce fuel costs and irrigation needs
Scientifically and Reasonably Improving Fruit Quality
Yield estimation and growth information monitoring
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