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How to Choose LiDAR for Industrial Robots
2024-03-29
As Industry 4.0 continues to deepen, the application of robotics in industrial and warehousing sectors is becoming increasingly widespread and sophisticated. As one of the core sensors for robots, LiDAR plays a critically important role.
In the industrial sector, robots are widely used on automated production lines to help achieve efficient production and precise manufacturing. By working collaboratively with human workers, robots can handle a variety of repetitive and tedious tasks, thereby boosting production efficiency and product quality. At the same time, robots can also take over manual operations in hazardous environments, ensuring the safety of employees.

Today, the emergence of obstacle-avoidance LiDAR systems offers a new option for factory safety protection. RayMoo’s ILS-F31-C obstacle-avoidance LiDAR, designed specifically for obstacle avoidance, has already been installed and is in operation at numerous factories.

As one of the core components of robots, LiDAR is a key factor influencing both the price and mass production of robots. When selecting LiDAR suitable for robotic applications, the following factors need to be considered:
1. The selling price and cost of LiDAR;
2. The service life of LiDAR;
3. Stability in complex environments;
4. Accuracy and sensitivity of detection;
Responding to the needs of the robotics industry, Raymou has launched the F30 navigation-and-obstacle-avoidance LiDAR. This LiDAR integrates navigation and obstacle avoidance into one device, boasting advantages such as high measurement accuracy, fast scanning speed, and strong anti-interference capability. It helps mobile robots achieve effective and precise localization, enabling them to tackle even the most challenging production tasks. Compared with imported LiDARs, Raymou’s F30 navigation-and-obstacle-avoidance LiDAR offers superior quality while significantly reducing both costs and selling prices, making it possible for the robotics industry to adopt it on a large scale.

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