A method and system for human-computer cooperation

Abstract

The present invention provides a method and system for human-computer cooperation. On the one hand, the method includes: S1, acquiring an image of the collaboration scene through the first camera; S2, judging the type of the collaboration scene based on the image of the collaboration scene; S3, acquiring the image of the collaboration scene through the second camera Human action image; S4, obtain the starting position of the human hand based on the human action image; S5, obtain the end position of the human hand based on the collaboration scene type; S6, based on the initial position and the end position Predict the movement trajectory of the human hand to obtain the predicted trajectory; S7, obtain the planned path of the robot based on the predicted trajectory. On the other hand, the present invention also provides a corresponding system for realizing the method. The invention enables the path planning system of the robot to perceive the cooperation scene and the task intention of the operator, and execute corresponding expected movements based on these predictions, so as to realize smooth and efficient cooperation between the robot and the robot user.

Description

technical field [0001] The present invention relates to the field of human-computer cooperation, in particular to a method and system for human-computer cooperation. Background technique [0002] Collaborative robots mean that robots and humans can work together on the production line to give full play to the efficiency of robots and the intelligence of humans. This kind of robot is not only cost-effective, but also safe and convenient, which can greatly promote the development of manufacturing enterprises. [0003] In the prior art, for a human-machine collaboration scene, it is generally necessary to manually select the scene type, and then the collaborative robot moves according to a preset scene movement strategy. This makes the collaborative robot unable to adapt to the rapid conversion of the scene, for example, when it is necessary to switch back and forth between the two scenes, the manual selection of the scene is obviously not efficient enough. The collaboration ...

AI Technical Summary

Problems solved by technology

This makes the collaborative robot unable to adapt to the rapid conversion of the scene. For example, when it is necessary to switch back and forth between the two scenes, the manual selection of the scene is obviously not efficient enough.

Makes the collaboration between cobots and robot users less efficient

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