3D random grasping robot

Vision and perception

3D disordered grasping robots are equipped with advanced vision systems and perception technologies, such as 3D vision, depth sensors, etc., capable of recognizing and analyzing the position, shape, and posture of objects. This information is crucial for the robot to grasp objects accurately

Flexible grasping strategy

The robot can adjust and optimize the grasping strategy according to the real-time object information and environmental conditions. They can switch between objects of different sizes, shapes, and weights, and use appropriate grasping techniques (such as grippers, suction cups, magnetism, etc.) to ensure a stable and safe grasp of objects.

self-adaptability

Since the arrangement of objects is usually disordered, 3D disordered grasping robots must have high adaptability. They can handle different grasping scenarios and changing object layouts through real-time adjustment and feedback control to achieve high efficiency and success rates.

Fast response and speed of operation

Robots are able to quickly detect and locate target objects and quickly perform grasping actions to improve production efficiency and workflow continuity. Able to complete complex grasping tasks in a short time.

security

Automated 3D out-of-order grab systems are often designed with safety sensors and protection devices to reduce human contact in the work area, thereby reducing the risk of accidents and improving work safety.