The necessary condition for achieving obstacle avoidance and navigation is environmental perception. In unknown or partially unknown environments, obstacle avoidance requires obtaining information about the surrounding environment through sensors, including the size, shape, and position of obstacles. Therefore, sensor technology plays a very important role in obstacle avoidance for mobile robots.
There are various sensors used by robots for obstacle avoidance, each with different principles and characteristics. Currently, the common ones include visual sensors, laser sensors, infrared sensors, ultrasonic sensors, etc.
At present, the common obstacle avoidance methods for mobile robots on the market mostly use LiDAR (a type of sensor that uses lasers to obtain information about the distance and reflection intensity of the surrounding environment to construct two-dimensional or three-dimensional scenes). Compared with other distance sensors, LiDAR can consider both accuracy and speed requirements, which is particularly suitable for the field of mobile robots. In addition, LiDAR can not only work in the presence of ambient light, but also in the dark, and its measurement effect is better in the dark.
Free-Optics C2 series high-precision single line LiDAR is mainly used for robot navigation and collision avoidance. We have completed testing and provided services for many years in top domestic robot manufacturers. With excellent product quality, stable delivery, and professional technical services, we have received unanimous praise from many customers.
