How Can A Robot Distinguish Its Direction Without Getting Lost?

With the development of artificial intelligence technology, more and more intelligent robots into our lives, in shopping malls, stations, hospitals, hotels, restaurants, they can be seen everywhere, such as: disinfection robot, food delivery robot, cleaning robot......

Robot is a sharp man carrying AGV portable wheeled robot, using artificial intelligence technology, combined with the SLAM navigation algorithm, realize high precision robot navigation and positioning, through laser radar sensor map precision, large implementation environment awareness and high reliable positioning capability, at the same time, also can carry on the acquisition of high precision real-time map and updated.

In a complex environment, the robot mainly relies on the built-in lidar sensor to identify the surrounding environment in real time, so as to build maps and navigate. Due to different environmental factors, autonomous navigation and positioning is not only a test for the robot itself, but also an important embodiment of perception and action.

Because of the different application environment, the robot must first overcome many challenges, adapt to the complex application scenarios, sharp, robot visual camera with laser radar, and innovative marketing combined with visual sensor technology such as multi-sensor fusion, let the robot can quickly instant positioning, perceive the surrounding environment, provide direction for the stable operation of the robot.

In the process of driving, the robot can plan the optimal path in real time according to the obtained navigation and positioning information, adjust its position and attitude, and accurately navigate to the destination. In addition, the chassis of Reiman robot is equipped with the laser SLAM positioning and navigation system independently developed by Reiman. Combined with the multi-sensor fusion technology, it has the functions of autonomous positioning and path planning, autonomous navigation and intelligent obstacle avoidance. 

At the same time open SDK interface, support secondary development, scalability, can be customized according to the needs of different subdivision scene. At present, Reiman robot chassis has been widely integrated in many subdivision scenarios, such as: disinfection robot, delivery robot, food delivery robot, cleaning robot.