Robot automatic calibration detection method, chip and robot

Abstract

The invention discloses a robot automatic calibration detection method, a chip and a robot. The method comprises the following steps that the robot takes an acquired initial infrared signal value as an initial reference value; the robot judges whether an obstacle exists in the advancing direction of the robot or not based on the difference value between the infrared signal value detected in real time and the reference value; when the difference value exceeds a deceleration threshold value or an obstacle avoidance threshold value, the robot executes a corresponding response behavior; and when the difference value does not exceed the deceleration threshold value, the robot judges whether to update the reference value or not according to the range of the plurality of infrared signal values obtained in the set condition. When the robot adopts the method for detection, the robot can autonomously detect and calibrate the reference value of an infrared sensor in real time each time the robotworks, so that the detection precision of the robot is improved, and the robot is prevented from triggering the deceleration threshold value or the obstacle avoidance threshold value for decelerationor obstacle avoidance without reasons in an open space.

Description

technical field [0001] The invention relates to the technical field of intelligent robots, in particular to a robot automatic calibration detection method, a chip and a robot. Background technique [0002] In the existing technology, most robots use infrared sensors to detect obstacles. When the infrared sensor detects, the value received by the infrared sensor will be different from the actual value due to problems such as wear of the filter, dust ingress, and internal interference of the structure. There is an unfixed reference value among them, and there is no good solution for this reference value, and this reference value will be affected by the environment during the working process of the robot, which eventually affects the normal operation of infrared detection. In the prior art, although the robot can calibrate the obstacle avoidance detection of the robot by using the minimum value of several infrared signal values ​​acquired in an open environment as a reference v...

AI Technical Summary

Problems solved by technology

[0002] In the existing technology, most robots use infrared sensors to detect obstacles. When the infrared sensor detects, the value received by the infrared sensor will be different from the actual value due to problems such as filter wear, dust ingress, and internal interference of the structure. There is an unfixed reference value, there is no good solution for this reference value, and this reference value will be affected by the environment during the working process of the robot, which eventually affects the normal work of infrared detection

In the prior art, although the robot can calibrate the obstacle avoidance detection of the robot by using the minimum value of several infrared signal values ​​acquired in an open environment as a reference value, this method is easily affected by the strong light environment, Make the reference value of the robot smaller than the actual value, making it easy for the robot to collide with obstacles

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