LiDAR | Empowering Robots with Intelligent Mobility

As robots increasingly operate in environments such as factories, warehouses, hotels, shopping malls, and restaurants, mobile robots are gradually entering the public eye. Obstacle avoidance is fundamental to enabling autonomous robot navigation. If a robot cannot quickly and accurately perceive and measure its surroundings during movement, it may collide with obstacles or humans, leading to economic losses or safety hazards. But how do robots achieve autonomous obstacle avoidance?

Environmental perception is a prerequisite for obstacle avoidance and navigation. In unknown or partially unknown environments, obstacle avoidance relies on sensors to capture information about the surroundings, including the size, shape, and position of obstacles. Therefore, sensor technology plays a critical role in mobile robot obstacle avoidance.

Various sensors are used for robot obstacle avoidance, each with distinct principles and characteristics. Commonly used sensors include visual sensors, laser sensors, infrared sensors, and ultrasonic sensors.

Most mobile robots on the market today utilize LiDAR for obstacle avoidance. LiDAR is a sensor that emits laser beams to obtain information about the distance and reflectivity of surrounding objects, constructing 2D or 3D maps of the environment. Compared to other distance sensors, LiDAR simultaneously meets both accuracy and speed requirements, making it particularly suitable for the mobile robotics field. Additionally, LiDAR can operate in both lit and dark environments, with even better performance in darkness.

FREE Optics' C2 Series high-precision single-line LiDAR is primarily designed for robot navigation and collision avoidance. It has undergone testing and years of service with top-tier robotics manufacturers in China. With its robust product quality, reliable delivery, and professional technical support, it has received consistent praise from numerous customers.