Vision acquisition method, learning system and storage medium based on target attitude deep learning

Abstract

The present invention relates to the technical field of robots, and discloses a visual collection method, a learning system and a storage medium based on target posture deep learning, which are used to control robots to learn and teach actions, wherein the deep learning visual collection method based on target posture includes the following steps: Collect the teaching image information of the teaching action process in the direction; analyze the teaching image information, select multiple reference points of the teaching action, and fit at least two functions through the relationship between movement and time: attitude function , a displacement function; generating a control program so that the robot can realize the teaching action according to the posture function and the displacement function. In the present invention, the teaching action function is simplified to reduce the calculation amount of point selection, and the driver program is generated by collecting the teaching action of the target, which reduces the need for manual participation, and has the advantages of high intelligence and high imitation reduction.

Description

technical field [0001] The present invention relates to the technical field of robots, in particular to a vision acquisition method based on target posture deep learning, a learning system and a storage medium. Background technique [0002] A robot (Robot) is a high-tech product with a preset program or principled program inside. After receiving a signal or instruction, it can judge and take actions to a certain extent, such as moving, picking up, and swinging limbs. The task of the robot is mainly to assist or even replace the work of humans in some occasions. The actions and information judgments involved in the actual work scene are often very complicated, and it is difficult to record them all in the robot in the form of a program in advance. Knowledge, self-learning to improve adaptability and intelligence level, that is, robot learning, has become a very hot research focus in the robot industry. [0003] In the prior art, the process of the robot simulating the human ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a visual acquisition method, a learning system and a storage medium based on target posture deep learning, aiming to solve the problem of low degree of motion reduction, large amount of calculation for taking points, and manual labor when robots in the prior art simulate human teaching actions. The problem of more participation and less intelligence

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