The navigation systems of robot vacuum are generally divided into three types, gyroscope navigation, lidar navigation, and slam navigation. It is not an exaggeration to say that navigation technology is directly related to the performance of the robotic vacuum cleaner.
When we choose a vacuum cleaner, we need to spend a lot of time and money. However, if you do not know the major navigation solutions for your robotic vacuum cleaner, that will be terrible.
Inertial navigation, also known as gyroscope navigation, relies on gyroscopes, and accelerometer inertial sensors for irregular planning of navigation direction. This navigation method is characterized by a haphazard route, clearing irregularly. Moreover, it will easily cause a large error. However, the good point is that it is relatively inexpensive.
LiDAR (otherwise known as “Light Detection and Ranging”) such as these excellent options by Dreame, is the most technologically advanced of all the robotic vacuum navigational methods. It uses lasers to emit light pulses and detect how long they take to reflect off objects. This lets a vacuum bot measure the distance to landmarks in a room so that it can create comprehensive maps of a space.
Moreover, laser navigation is two-dimensional obstacle avoidance. The sensor is located at the top of the robot, increasing the height of the body, there will be a blind spot for low obstacles.
It is literally easy to understand, through the camera mounted on the vacuum cleaner, simulating the vision of the human eye to identify and navigate the surrounding environment. Moreover, it is expensive, but best suited for those who pursue high-end technology.
To sum up
Different major of navigation systems may all have pros and cons. Every choice depends on your needs and costs.
techTongBo (also named: Nanjing TongBo / NJTB) is a Chinese company specializing in the manufacture and sales of vacuum cleaner accessories. We offer replacement accessories for the global market that are compatible with mainstream vacuum cleaner brands and have stronger price advantages.