Automated Map Generating and Ranging Robot

Robotic mapping and exploration is an important contribution in the area of SLAM for autonomous robots. The autonomous mapping learning problem is focused in the content. Solutions includes uncertainty - driven exploration, active loop closing and coordination of multiple robots, learning and incorporation background knowledge and dealing with dynamic environments. One requirement of SLAM is a range measurement device, of the method for observing the environment around the robot. Laser sensor such as LIDAR is the most common measuring device. Laser sensor are easy to use and very precise however, they are also extremely expensive. Thus sonar can be used and the device is especially useful for mapping underwater environment. This optical reader can came in 2D or even 3D formats. Plotting the data of US sensor which is rotating a 360 degree, will yield a map of one plane. By The height of the setup consequent plane's map can be obtained.