Airat Khasianov

Papers

Total Citations

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About

Airat Khasianov is a researcher whose work bridges artificial intelligence, legal informatics, and robotics. His primary research areas include intelligent document analysis, natural language processing for legal applications, and autonomous robot path planning. Khasianov’s most notable contribution is the development of the “Robot Lawyer” intellectual system, designed to assist lawyers and citizens in processing large volumes of Russian legal documents. This tool, detailed in his 2018 paper, aims to streamline legal document management by automating the extraction and analysis of key information, addressing a critical need in jurisprudence where manual text processing is time-consuming. The paper has garnered 8 citations, reflecting its relevance in the emerging field of legal AI. In robotics, Khasianov has advanced mobile robot navigation by combining Voronoi graph and spline-based approaches for path planning, as presented in his 2019 work (6 citations). This hybrid method enhances efficiency and smoothness in autonomous movement. Through these contributions, Khasianov demonstrates a commitment to applying computational methods to solve real-world problems in law and robotics, making his work valuable for students and researchers interested in AI-driven document analysis and intelligent navigation systems.