Robot arm grabbing control system and method based on intelligent stereoscopic vision

Abstract

The invention discloses a robot arm grabbing control system based on intelligent stereoscopic vision. The robot arm grabbing control system based on the intelligent stereoscopic vision involves an image acquisition unit, a robot arm unit, an image processing unit, a data storage unit and a control unit. The robot arm grabbing control method based on the intelligent stereoscopic vision comprises the steps that an intelligent stereoscopic vision unit is fixedly installed on the eye portion of a robot, and it is ensured that the robot is within a fixed range taking a captured target object as a circle center; a control unit receives a target grabbing instruction, controls the image acquisition unit to be started to acquire a video image, and transmits the acquired video image to the image processing unit for processing and analysis; color identification and three-dimensional information positioning are carried out, and three-dimensional position real-time calculation is carried out; related state information of the robot arm unit is acquired; and the robot arm unit is controlled to complete grabbing according to a calculated optimal path. According to the robot arm grabbing control system, a robot arm can be flexibly and efficiently controlled, the optimal path is automatically judged, real-time grabbing is completed, the application field is wide, and the market prospect is good.

Description

technical field [0001] The invention relates to the technical field of mechanical control, in particular to a robot hand grasping control system and method for robots. Background technique [0002] With the development of artificial intelligence, the tasks undertaken by robots are more complex and diverse. Machine vision system control uses visual information as feedback, and uses machine learning methods to control robots to improve the flexibility and accuracy of robot systems. In some logistics and transportation industries, robots The intelligent control of the arm has also received more and more attention. [0003] Traditional machine learning includes various practical theories and algorithms, such as concept learning, decision tree, neural network, Bayesian learning, instance-based learning, genetic algorithm, rule learning, explanation-based learning and reinforcement learning, etc. Design-based programming and pipeline-like working mode enable the robotic arm to re...

AI Technical Summary

Problems solved by technology

Due to flaws in methodology and technical route, artificial intelligence has not yet achieved the goal of allowing machines to learn like humans

[0004] Nowadays, in the logistics industry, education industry, or other situations that require robots to grab targets, there are various artificial intelligence control methods and devices for controlling the manipulator. Generally, the robot arm is controlled according to the pre-programmed program, and some programmed The operation work is limited to a fixed location to operate on a specific item, which takes longer and has poor versatility; the grasping accuracy and work efficiency will be affected

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