Robot disordered grasping device and method based on double cameras

Abstract

The invention relates to a robot disordered grasping device and method based on double cameras. The device comprises a worktable, a material taking box, a suction disc, a robot, a bracket, a machine vision system and a material discharging box. The material taking box and the material discharging box are arranged on the worktable at interval; the robot is arranged on the worktable and is located between the material taking box and the material discharging box; the suction disc is arranged at a tail end executing device of the robot; the bracket is arranged at one end, close to the material taking box, of the worktable; the machine vision system is arranged on the bracket; a target object is arranged in the material taking box; the robot is used for controlling the suction disc to grasp the target object in the material taking box in an disordered manner through the machine vision system and putting the target object into the material discharging box. According to the robot disordered grasping device and method based on the double cameras, the machine vision system can be used for acquiring three-dimensional posture information of a disordered stacked object to be grasped so as to realize disordered grasping and ordered placement processes of the robot; the robot disordered grasping device and method have the advantages of compact structure, high grasping success rate, high placement precision, low cost, convenience for operation and the like, and automation and intellectualization of a grasping process can be realized.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a dual-camera-based robot disorderly grasping device and method. Background technique [0002] With the gradual advancement of "Made in China 2025", industrial robots are widely used in grasping, sorting and other operations in the 3C and logistics industries. As the key technology to realize these tasks of robots, machine vision can replace human eyes to measure and judge the operated objects, obtain information such as the color and pose of the operated objects, and improve the flexibility and automation of robot production. At present, objects are often piled up and placed in disorder in the industrial environment. However, the traditional robot grabbing or sorting method often has the problem of inaccurate object identification information and low success rate of grabbing or sorting, which seriously affects the robot. Operating efficiency and increase the production c...

AI Technical Summary

Problems solved by technology

At present, objects are often piled up and placed in disorder in the industrial environment. However, when using traditional robot grabbing or sorting methods, there are often problems of inaccurate object identification information and low success rate of grabbing or sorting, which seriously affects the robot. Operational efficiency and increase the production cost of the enterprise

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