Robot auxiliary teaching system based on optical tracking

Abstract

The invention relates to a robot auxiliary teaching system based on optical tracking. The robot auxiliary teaching system is characterized in that an observer and an upper computer are arranged in a space positioning module; a key, a processor, a wireless communication module, a first light-emitting ball, a second light-emitting ball, a third light-emitting ball and a probe are arranged on a teaching pen; infrared LEDs are arranged in the first light-emitting ball, the second light-emitting ball and the third light-emitting ball; the key and the processor, the processor and the wireless communication module, the processor and the infrared LEDs, and the processor and the probe are connected together through internal wires; the observer and the infrared LEDs carry out signal transmission through infrared light beams; the upper computer and the wireless communication module exchange data through a network; and the upper computer and a robot exchange data through a network. The robot auxiliary teaching system based on optical tracking is easy to operate, high in positioning accuracy and wide in application scene range.

Description

technical field [0001] The invention belongs to the related technical field of teaching systems, and in particular relates to a robot-assisted teaching system based on optical tracking. Background technique [0002] At present, industrial robots mainly use the teaching and reproduction method to set the trajectory and posture of the robot. Because the robot has a high repeatability positioning accuracy, it can ensure that the teaching trajectory and posture are accurately reproduced each time; the traditional teaching process is through teaching. Although this method is simple and convenient, there are still many problems in industrial applications. First, the teaching pendant cannot intuitively adjust the posture of the robot. There are certain requirements. Secondly, this teaching method is not suitable for application scenarios with high precision requirements and many control points. Finally, the traditional teaching-reproduction method relies on the repeated positioning...

AI Technical Summary

Problems solved by technology

[0002] At present, industrial robots mainly use the teaching and reproduction method to set the trajectory and posture of the robot. Because the robot has a high repeatability positioning accuracy, it can ensure that the teaching trajectory and posture are accurately reproduced each time; the traditional teaching process is through teaching. Although this method is simple and convenient, there are still many problems in industrial applications. First, the teaching pendant cannot intuitively adjust the posture of the robot. There are certain requirements. Secondly, this teaching method is not suitable for application scenarios with high precision requirements and many control points. Finally, the traditional teaching-reproduction method relies on the repeated positioning accuracy of the robot and requires high-precision fixtures, which is difficult to adapt to industrial production. Flexible production needs of medium and large varieties and small batches

[0003] Aiming at the shortcomings of the traditional robot teaching pendant, various new teaching methods have been continuously proposed, including: force feedback-based traction teaching, gesture recognition-based teaching methods, etc. The accuracy of the force feedback traction teaching method is not easy to guarantee , The price of the sensor is high, it is difficult to popularize in industrial applications; the gesture recognition method cannot complete the complex teaching trajectory

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