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Chengdu JRT Meter Technology Co., Ltd

Application of long range ir sensor in moving robot obstacle avoidance_JRT Measure

2023 07/20

Hello Everyone! Welcome back to JRT Sensor channel!|
This is Spencer,glad to see u again,Today i will talk Application of laser distance sensor in moving robot obstacle avoidance
An important symbol of moving robot intelligence is autonomous navigation, and there is a basic requirement for realizing robot autonomous navigation-obstacle avoidance. Let's take a look at the obstacle avoidance of moving robots. Obstacle avoidance means that the mobile robot, according to the state information of the collected obstacles, senses the static and dynamic objects that hinder its passage through the sensor during the walking process, according to a certain method. Effectively avoid obstacles and finally reach the target location.So sensor technology plays a very important role in moving robot obstacle avoidance.
infrared distance sensor
The infrared sensor price uses laser light to measure the distance to the measured object or the displacement of the measured object and other parameters. The more commonly used ranging method is to send a pulse laser with a very short duration from a pulse laser, and shoot it to the target after passing through the distance to be measured, and the echo returns because the photoelectric detector receives it. According to the interval between the main wave signal and the echo signal, that is, the round-trip time of the laser pulse from the laser to the target, the distance of the target to be measured can be calculated. Because the speed of light is very fast, the round-trip time of the beam is extremely short when measuring small distances, so this method is not suitable for measuring distances that require high precision (sub-millimeter level). Generally, if very high precision is required, trigonometry and phase methods are commonly used. method measurement
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Chengdu JRT Main Laser Measuring Modules: Industrial Laser Distance Sensors, Laser Rangefinder Sensor, Tof LiDAR Sensors.


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