Maxim Antonov

Papers

Total Citations

H-Index

About

Maxim Antonov is a robotics researcher whose work focuses on the control, modeling, and structural optimization of mobile and industrial robotic systems. His key research areas include mobile robot control algorithms, sensor data management, and manipulator rigidity enhancement. Antonov’s major contributions address critical challenges in real-world robotics: he has developed methods for data buffering in mobile robot control systems to ensure stable performance despite variable sensor sampling frequencies, and he has created analytical models for tricycle mobile robots that capture both longitudinal dynamics and transverse oscillations. His work on modeling increased rigidity in industrial manipulators offers practical solutions for improving precision and durability in manufacturing environments. While his citation counts (5 citations each for his top papers) reflect a developing rather than established impact, his research demonstrates a strong foundation in applied mechanics and control theory. Antonov’s simulations and models provide valuable tools for engineers designing more reliable and responsive robotic platforms, making his contributions particularly relevant for students and researchers entering the field of mobile robotics and industrial automation.