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Working principle of sweeping robot 12v brushless dc motor

Sweeping robot have fully entered our lives, work and economy, especially the developed countries in the West, are committed to the research and development and widespread use of intelligent sweeping robots. Although domestic and foreign research and development in this field have achieved some results, there are still many key technical problems to be solved or improved.

The sweeping robot brushless DC motor adopts a transmission structure with a geared motor, and the additional driver enables the intelligent sweeping robot to be intelligently controlled. The brushless gear motor can adjust the speed of the gear transmission through the shift position, thereby achieving intelligent control.

Roomba is the earliest popular sweeping robot. Its path planning is a random collision mode. It is based on infrared sensors and high-precision program algorithms. Although the algorithm is accurate enough, it bumps into and out of the room, which is not very efficient. It also looks dumb.

As a result, rising stars have launched their own path planning models, and now there are several:
1. Laser ranging navigation system (LaserSmart™ Mapping and Navigation)
The Neato sweeping robot generates an indoor map through the method of laser distance measurement. Based on this, it reasonably plans the cleaning route instead of trying to bump into it. The user's intuitive feeling is that it looks smarter. The realization principle is: a rotatable laser emitting head and a supporting receiver are installed on the top of it, and a digital map is generated by emitting a laser to scan the distance between itself and each point of the boundary, and it can also be carried out in real time according to changes in the position of the furniture in the house. Update.
Now that there is an indoor map in the brain, Neato can also memorize and store the location relationship smartly. For example, when it automatically returns to charging due to insufficient power, it can automatically continue cleaning from the node it returned last time.
This is what intelligence should be.
2. NorthStar® Navigation System
Similar to the indoor GPS positioning method, the realization principle of the Polaris navigation system is to build a signal-transmitting module indoors, and the robot determines its position by measuring the offset angle between itself and the signal. Since it cannot "see" indoor objects like Neato, it can only establish the positional relationship between the indoor map and the objects by touching it during the cleaning process.
The Polaris navigation system is a patent of Evolution Robotics of the United States. It was first applied to its Mint product of the wiping robot. In September 2012, the company was acquired by iRobot and then applied to the Braava series of wiping robots.
Detailed explanation of the working principle of the sweeping robot

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