Mobile robots have developed rapidly in recent years and are now a well-known fact in the automation industry. This development has led to rapid changes in navigation methods, and navigation products, in turn, have greatly promoted the development of the industry.
Natural navigation, also known as contour navigation, represents the ideal navigation method. Customers do not need to modify the external environment; the mobile robot navigates directly based on its surroundings. Compared to traditional navigation methods, it eliminates the need for manually added markers, is simpler to construct, reduces costs, and is easier to install and implement.
Steve Jobs once said, "Simplicity is always better." It's time to simplify robots, and we've done it. NAV-LOC was born from this. It's that simple. Let's relax and watch the video:
Natural navigation consists of four steps:
1. Use lidar to scan the environment and obtain the surrounding point cloud.
2. Using point cloud data, generate the surrounding contour.
3. Generating maps using outlines
4. Proceed according to the map
NAV-LOC helps customers easily complete the first three steps; the customer's system only needs to plan the route based on the map to easily complete natural navigation.
In addition, NAV-LOC has a powerful map self-learning function. When there is a certain difference between the actual environment and the map created earlier, NAV-LOC automatically learns the environment and automatically updates the map. It's that simple.
NAV-LOC family group and composition:
NAV-LOC is a system designed for natural navigation. In the near future, almost all data-output radars can be integrated into this system to meet various customer application scenarios, making natural navigation even more "natural."
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