Benefiting from the rapid development of the Internet and technology, sweeping robots have long been nothing new, and more and more families have begun to use sweeping robots. So what kind of sweeping robot is more useful, this article will take you to analyze from the technical principle, why you must buy a sweeping machine with a laser radar.

Why You Should Buy A Sweeping Robot With A Lidar?

The earliest sweeping robot was jokingly called “artificial mental retardation”. The sweeping machine always ran rampant when it was working, and many people thought it would be better not to use it. This is because the early sweepers changed direction through random collisions, and there was basically no planning for cleaning. This kind of application scheme is simple to implement and low in cost, but the cleaning effect is poor, and the cleaning is missed, time-consuming, and the experience is extremely poor.

With the continuous development and progress of artificial intelligence technologies such as deep learning and machine vision, the iterative speed of sweeping robot products is obvious to all, gradually evolving from the early mechanical to the current intelligent direction. The second-generation planning cleaning robot is officially on the scene. Compared with random cleaning, the second-generation sweeping robot has greatly optimized the walking route algorithm, and is equipped with sensors such as gyroscopes to help the sweeping robot in a relatively regular and efficient manner. The route is cleaned, but there are still problems such as missed cleaning and being stuck by furniture.

This is why you must buy a sweeper with a lidar. Laser SLAM can measure information such as the angle and distance of surrounding obstacle points. It is characterized by fast, accurate, and small, that is, fast acquisition speed, accurate measurement, and small amount of calculation.

SLAM (Simultaneous Localization And Mapping) means real-time positioning and map construction, which means that the robot creates a map in a completely unknown environment under the condition of uncertain position, and uses the map for autonomous positioning and navigation. That is to say, the sweeping robot needs to start moving from an unknown position in an unknown environment, position itself according to position estimation and sensor data during the movement, and build an incremental map at the same time.

The laser-navigated sweeping robot judges its own position through SLAM lidar scanning, with high positioning accuracy, and can accurately locate even in a dark environment. The emergence of SLAM technology has realized the leap from “mentally retarded” to “smart” for household service robots. It is possible for the robot to autonomously plan its moving route in different environments, which surpasses the random sweeping method of the sweeper.

The main application principles are as follows:

LDS (Triangulation Method) Lidar

Through the 360° rotation of the top sensor, the laser is emitted, and then reflected by the object to determine the distance between the measured object and the machine, which belongs to a method of triangulation distance measurement. The specific imaging principle is as follows:

q refers to the actual distance between the sweeper and the obstacle, d is the distance from the laser head to the obstacle, s is the distance between the laser head and the lens, f is the focal length of the lens, β is a fixed angle value, and x is proportional to s .

The disadvantage of this solution is that it cannot detect objects with high reflectivity such as floor-to-ceiling windows, floor-to-ceiling mirrors, and vases. The advantage is that the lidar navigation technology is more mature and the cost-effective advantage is obvious. At present, the main laser used is 780nm laser, which represents the models of sweeping machine manufacturers Stone and Midea.

ToF Lidar

ToF refers to the time of flight of light. The principle is to modulate the laser, calculate the flight time in the air after shooting out, and then obtain the distance. It is emitted by a group of infrared light (generally 905nm laser pulses) invisible to the human eye, and then reflected to the end of the camera when it encounters an object, and the time difference or phase difference from emission to reflection back to the camera is calculated to obtain a three-dimensional 3D Model imaging techniques.

The advantages of this solution are low power consumption, strong anti-interference ability, long detection distance and high precision, but the process is too complicated and the cost is high. At present, the main laser used is 905nm pulsed laser, representing the sweeper manufacturer Cobos.