The sweeper has been debuting for more than 20 years. I […]
The sweeper has been debuting for more than 20 years. Its appearance is slowly changing people's lives. It can automatically complete the floor cleaning work in the room with certain artificial intelligence. But there must be many small partners asking, what is the principle of sweeping robots?
The predecessor of the sweeping robot is actually a vacuum cleaner. It has an electric blower. When it is energized, it runs at high speed, which creates an instantaneous vacuum inside the vacuum cleaner. The internal air pressure is much lower than the external air pressure. Under the pressure difference, dust and dirt As the airflow enters the vacuum cleaner barrel. Modern sweepers also use this principle. With the development of technology, sweep
The ground plane is becoming more and more intelligent. It is controlled by a microcomputer, which can realize automatic navigation and clean and vacuum the ground. The collision and bypass of the obstacles in front can make the corners clean. It has a universal wheel at the bottom of the bottom, and an independently driven walking wheel on the left and right sides. There is a fan (vacuum cleaner), which is powered by a rechargeable battery and driven by a DC motor.
The first sweeping robot was not completely intelligent. With the development of technology, various navigation systems appeared: gyroscope navigation, laser navigation, visual navigation, and the emergence of these navigations, making the sweeping robot no longer appear everywhere. The phenomenon of chaos. The following sweeping robot network will give you a brief introduction to the principle of the above navigation system.intelligent vacuum cleaners Manufacturers
The gyroscope is a device for sensing and maintaining the direction. It is designed based on the theory of conservation of angular momentum. It has two characteristics: the fixed axis and the precession, and the inertia remains stable.
Resist any force that changes the rotor shaft and perpendicular to the direction of the external moment.
Therefore, the use of gyroscope navigation technology to make sweeping navigation more accurate, not only sensitive to the direction, speed and slope changes, flexible adjustment of the direction and route, improve the coverage of the sweeper. However, it has a disadvantage: there is a cumulative error, and as the driving time and distance increase, the error also increases. Therefore, the relative positioning method is not suitable for precise positioning over long periods of time and long distances.
The basic principle of a laser navigation system is to emit a beam of light and then bounce back to map the distance between the robot and the target location and draw a map. Its basic principle is the same as laser ranging, that is, the machine calculates the distance from the front obstacle by measuring the time from the laser to the receiving time. Laser ranging measurement can be done once, while laser navigation requires more point measurement to calibrate the position of the machine, just like calibrating a point in a three-dimensional coordinate requires three coordinates, laser navigation Multi-point ranging is required, even a 360-degree continuous scan several times per second, once to record the movement path of the machine in space. With the help of laser navigation technology and built-in computing chip, the intelligent sweeping robot can draw accurate spatial interior images, and respond to various terrain environments of the family.
Scientific research statistics show that about 75% of humans get information from the outside world from vision. The visual system is the closest way for robots to detect human beings. Cobos SmartEye is a visual navigation technology that leads the sweeping robot into the new “vision” world. SmartEye captures the stereoscopic space through the 166° environment acquisition camera, and uses SLAM algorithm to achieve precise positioning and navigation movement. The sweeping robot "sees" the home environment more comprehensively, greatly improving the cleaning coverage, and the corners of the house are not falling. In addition, thanks to the new technology, the camera can capture the home environment landmarks, multi-point ranging instant image comparison, timely calibration, even if the machine has moved, it can update the positioning in time, the cleaning repetition rate is greatly optimized. However, there is a disadvantage: there is a cumulative error, and as the driving time and distance increase, the error also increases. Therefore, the relative positioning method is not suitable for precise positioning over long periods of time and long distances.