Review on Lydsto R1: The Ultimate Self-Emptying Robot Vacuum Cleaner with 🧹 Lidar Navigation and 2700Pa Suction, Perfect for Pet Hair and Carpets (White) by James Hess

This vacuum cleaner is extremely powerful and I appreciate that it presents the house in such a way that it doesn't have to spend hours vacuuming in the same spot. This vacuum cleaner blew me away. The application is easy to use and allows you to create virtual walls and different rooms. Love how the vacuum moves up and down the lines instead of erratically like my old one. The vacuum cleaner comes in good packaging. Then you pick it up and wonder how heavy it is. However, this is a good thing. The vacuum cleaner makes a durable impression. I was very impressed with the accuracy of the radar map once I connected it to the app and ran it. The suction function is not too loud and even picks up dust better than my previous one. It's also much more efficient and gets the job done faster since it uses a radar map. When he's done cleaning, he returns to the base, which has a built-in vacuum that sucks dust from the robot into a sealed bag at the base. . This is the only part of the process that is audible. However, as a robot vacuum cleaner owner, it makes my life a lot easier because I can vacuum a lot without having to constantly empty it myself. The dust collecting robot's skills are limited, but there is a trash can! This unit also comes with extra mop heads which I use to mop floors. This robot vacuum cleaner comes with a charging base and a 3000ml self-cleaning dust bag that can hold dust and pet hair for up to 30 days. Wherever I am I can check cleaning status and do other things. This robot vacuum cleaner can work up to 150 minutes. When the battery runs out, it will charge and continue cleaning. The advanced 2700 Pa cleaning system lifts, loosens and then removes dirt and pet hair from deep within your carpets. Smart Multi-Card Storage: The cleaning robot can remember multiple cards at a time, which means cards with multiple floors can be stored in this app without re-carding. Overall, this vacuum cleaner is well made, with high performance. high quality components. I was very impressed with the real brush inside and how well this vacuum cleaner cleans my new Pergo floors. Compared to other vacuum cleaners, the price of this one is amazing! I am very satisfied and impressed with everything this thing can do Product Description Color: White Host Size: 349 x 100 x 353mm Obstacle Crossing Height: 20mm Net Area: 150 Square Meters Vacuum Suction: 14 Files each: 0.8kpa 1.3kpa 1, 8 kPa 2.7kPa overall machine noise: maximum file <72dB, first file: 60dB; second file: 63 dB; third file: 67 dB; fourth file: 72 dB; Water output control: support Battery capacity: 5200 mAh Working time: 150 min Rated power: 50 W Grade ability: support 15° tilt for a mopHow lidar works Robot vacuum cleaners have a rotating lidar sensor on the top of the vacuum cleaner, which maps the house while the device is running cleans. This lidar sensor fires a laser in all directions; The laser beam then reflects it back to the sensor to collect data that will help the robot map your home. What is lidar and how does it work? Laser beam to get information about the objects from which the laser is reflected. However, LiDAR has a major advantage over RADAR. Because light has a much shorter wavelength than radio waves, it is more accurate and can paint a more detailed picture of a target. This means that LiDAR doesn't just measure the distance to something; It can also output a lot of information about an object's shape. That's not all; With repeated pings, you can determine not only its direction and speed of movement, but also its orientation. For example, a LiDAR device can learn details about how nearby objects rotate and whether they are pointing toward or away from the LiDAR device. LiDAR isn't the first time-of-flight sensor to find its way into consumer electronics. For example, Samsung uses infrared ToF sensors in smartphones like the Galaxy S20+ and Galaxy S20 Ultra, but these aren't lasers, just infrared rays. Galaxy phones also have a Quick Measure app that uses ToF to estimate the size and volume of an object in front of the phone. room is similar to visual SLAM but with higher precision in one dimension. LiDAR measures the distance to an object (e.g. walls or chair legs) by illuminating the object with multiple transceivers. Each transceiver quickly emits pulses of light and measures the reflected pulses to determine position and range. Due to the rapid propagation of light, very precise laser work is required to accurately track the precise distance from the robot to each target. This accuracy requirement makes LiDAR a fast and accurate approach. However, this only applies to what he can see. One of the main disadvantages of 2D lidar (commonly used in robotics applications) is that it occurs when an object overlaps another at the level of the lidar, or when the object has a non-constant shape that is not the same width across the body has information is lost. When deciding which navigation system to use in your application, it is important to keep in mind the general issues of robotics. Robots have to navigate different types of surfaces and routes. For example, a cleaning robot has to navigate through wood, tiles or carpets and find the best way between the rooms. Specific location data is often required, as well as knowledge of general obstacles in the area. For example, the robot needs to know if it is approaching a staircase or how far a coffee table is from the door. Both Visual SLAM and LiDAR can solve these problems, with LiDAR typically being faster and more accurate, but also more expensive. Visual SLAM is a cheaper approach that can use significantly cheaper hardware (camera instead of laser) and possibly a 3D map, but is not as accurate and slower than LiDAR. Visual SLAM also has the advantage of being able to see more of the scene than LiDAR, as its sensor allows for more measurements to be displayed.