Aleksey S. Antipov
Papers
2
Total Citations
17
H-Index
2
About
Aleksey S. Antipov is a leading researcher in robotics and control theory, specializing in the development of dynamic models and robust control strategies for mobile robots and manipulators. His work addresses critical challenges in motion planning and real-time trajectory tracking under uncertainty, particularly in non-smooth environments. Antipov’s most-cited paper, “Dynamic Models Design for Processing Motion Reference Signals for Mobile Robots” (2022, 10 citations), introduces innovative frameworks for synthesizing reference signals that enhance robot navigation and stability. Building on this, his 2023 study “Direct control of the endpoint of the manipulator under non-smooth uncertainty and reference trajectories” (7 citations) proposes a direct endpoint control method that ensures precision despite unpredictable disturbances, a breakthrough for industrial and service robotics. Though his citation counts are modest, Antipov’s contributions are highly relevant to advancing autonomous systems in unstructured settings. His work is notable for bridging theoretical control design with practical implementation, offering scalable solutions for real-world robotic applications. Antipov’s research continues to influence the development of resilient, adaptive robots capable of operating in dynamic, uncertain environments.
Research Focus
Key Achievements
Top Papers
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