Autonomous navigation is an important sign of intelligent mobile robot in robot navigation techniques to achieve, SLAM technology to become mainstream positioning technology, the industry's leading service robot business, they use the SLAM technology.
SLAM (simultaneous localization and mapping), mainly for the study of intelligent robot moves in completely unknown environments, after equipped with a laser radar sensor core, SLAM technology can help the robot indoor environment mapping, to achieve self-help robot to walk.
Currently, based on the SLAM navigation technology, laser SLAM and visual SLAM points, laser navigation laser SLAM technology combines mainly through the object emits laser signals, then calculates this according to the from the object reflected signal time difference distance, angle and then re-emitted laser light emitter and the object to determine the angle, to arrive at the relative position of the object with the transmitter.
The visual navigation SLAM technology includes a camera (CCD image sensor), digital video signal apparatus, based on a fast signal processor, DSP computers and peripherals, and the like. And it works simply is the robot surrounding environment optical processing, the first image information collected by the camera, the information collected is compressed, then feeds it back into one consisting of neural networks and statistical methods of learning subsystem, then by learning subsystem will be collected and the actual position of the image information linked robot to complete robot autonomous navigation and positioning capabilities.
Laser Vision SLAM SLAM and disadvantages of both technologies have their advantages and disadvantages, the laser is no doubt that the traditional laser radar is very expensive, and the second is not flexible in many ways. Visual SLAM to changes in light and shadow or indoor environment relatively dark scenes can not be used, and the accuracy of the laser SLAM navigation more effective protection, better able to adapt to the indoor environment.
SLAM autonomous navigation technology based development is a very challenging task, but it is the release of mobile robot navigation key ring. After years of development, laser SLAM technology is relatively more mature now, laser-based SLAM navigation program already has a very large application space. Especially in the indoor service robots, the market has been close to maturity robot navigation program, the Hass Lan Technology Co., Ltd. (hereinafter referred to as: Si Lan Technology) based on the autonomous navigation SLAM overall solution has achieved a major breakthrough, can minimize robot corporate R & D costs.
Lan technology companies think is the first laser for SLAM service robot, the introduction of robot navigation package includes 360 scanning laser range finder RPLIDAR modular and autonomous positioning and navigation module SLAMWARE, may help robots to build their own maps, real-time route planning and automatically avoid obstacles and other functions.
It is understood that this robot navigation package for household and commercial version of the version, major difference is that the distance range of the laser radar, the current Home Edition distance range of 12 meters and the range ranging commercial version was 25 m, the manufacturer may choose according to actual needs.
For most home and office environments, limited range of motion of the robot service, location map building is relatively simple, manufacturers can choose 12 meters Home Edition Development Kit. And shopping malls, exhibition halls and other large buildings, indoor area of up to tens of thousands of square meters, inside there are often long corridor, ranging range of 12 meters, laser radar can not detect the end of the corridor, the actual results could not meet the needs of the construction map , manufacturers can choose a range of 25 meters distance commercial version development kit. At the same time, it provides abundant interfaces, enterprise service robots robot chassis and only complete application-layer development.
Today, the SLAM-based autonomous navigation technology has made great improvements since the SLAM questions the 1980s, SLAM technology experienced three generations of technology updates, the first generation of SLAM technology is based KALMAN filter only applies to some point map; SLAM technology is based on the second generation of particle filters, closed-loop capabilities in large scene is relatively weak; the third generation of SLAM technology is based on the optimization of schematics, the whole theoretical framework is different, as well as problem-solving thinking is completely different. Lan technology and thinking is to do robot navigation solutions based on third-generation SLAM technology.