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, locations, and confidence levels in pictures.
From forward and inverse kinematics, kinematics to dynamics, from joint coordinate system to Cartesian coordinate system
Force feedback control combined with visual recognition enables precise grasping of objects
Accurate grading under high-speed dynamics
Precise spraying without crushing the seedlings, spraying evenly, timing and quantity
Reduce fuel costs and irrigation needs
Scientifically and rationally improve fruit quality
Yield estimation, growth information monitoring
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