BIG DATA APPLICATION TO THE ROBOTICS ON THE EXAMPLE OF SLAM
The concept of big data - or technological methods for collecting, analyzing and disseminating a huge amount of raw data - has had a profound impact on almost all scientific fields. In comparison with other areas, robotics is distinguished by the fact that it allows an embodied object (English accomplied agent) to interact physically with the world. Big data technologies face new challenges when applied to robotics problems, which in turn are characterized not only by a multidimensional input data space, but also by a multidimensional, continuously calculated output data space. This huge cycle of data creation and training should lead to significant progress in robotics and at the same time enrichment of the sciences adjacent to Big Data, developing areas such as incremental and interactive learning. An example of a direction closely related to big data is SLAM technology. The presented work contains the basic concepts of technology, describes the general principle of the algorithm for solving one of the typical SLAM problems, estimates the prospect of further integration of big data and robotics methods.