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

A deep learning and target attitude technology, applied in the field of robotics, can solve the problems of large amount of calculation, low action reduction, low intelligence, etc., to achieve high imitation reduction, reduced demand, and high intelligence. Effect

CN109676583BActive Publication Date: 2021-08-24SHENZHEN YUEJIANG TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2021-08-24

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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.
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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 ...

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Embodiment Construction

[0011] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0012] In describing the present invention, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientation or positional relationship indicated by "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than Nothing indicating or implying that a referenced device or element must have a particular orientation, be constructed, and operate in a ...