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About

A. B. Filimonov is a dedicated researcher in mobile robotics, with a primary focus on local navigation and motion control. His work centers on the method of artificial potential fields, a popular technique for guiding robots through environments with obstacles. Filimonov’s major contributions include developing new approaches to constructing attractive potential fields and addressing the persistent problem of local minima, or "traps," that can stall robot movement. He has introduced innovative methodologies, such as the concept of a "fairway" for potential guidance, and has explored the integration of linear-quadratic optimization with classical control schemes. His most cited paper, "Issues of Motion Control of Mobile Robots Based on the Potential Guidance Method" (2019), has garnered 14 citations, while related works from 2018 to 2022 have accumulated over 30 citations collectively. Filimonov’s research is notable for its constructive, practical focus—offering new techniques for designing virtual force fields and improving robot responsiveness. His ongoing work continues to advance the reliability and efficiency of autonomous navigation in complex, obstacle-rich environments.