The article discusses various solutions that exist in the field of remote control of robotic devices equipped with manipulators. New approaches are presented for organizing joint telecontrol of multiple manipulators using various user inputs. The following usage scenarios are considered: the architecture of a system with many manipulators and user control interfaces, including such promising areas as deep machine learning and neural interfaces.

Relevance of the issue under study is due to tenuity of methods proposed by other researchers that use simple heuristics or machine learning algorithms. The purpose of the article is to provide better way to extract titles from scientific PDF documents and offer better and more reasonable approach to title selection generally. The leading approach to the study is regard as many cases and problems appeared during extraction as possible and find an approach to solve all of them. The results showed the efficiency of chosen approach in case of having a document set with all of considered problems. The research highlights that deep analysis of current task problem is a perspective to make the best solutions and tools. The article may be useful for all researchers and developers who often encounter the problem of document structural analysis or title detection as secondary task of a main program workflow.