Andrei Ignatov

Papers

Total Citations

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About

Andrei Ignatov’s research centers on the kinematics, workspace analysis, and control accuracy of robotic systems, with a particular focus on parallel-structure robots. His major contributions include developing a parallel algorithm to efficiently approximate a robot’s workspace—the set of all positions its end-effector can reach—which is critical for robot design, placement, and path planning. This work, published in 2019, has garnered 8 citations, reflecting its utility in foundational robotics problems. In a subsequent 2020 study, Ignatov investigated the accuracy of robot movement along predefined paths, modeling a planar 3-RPR mechanism with a DC motor drive to explore how workspace boundaries, velocity, and drive inertia affect trajectory-following precision. Though with fewer citations, this work addresses practical challenges in industrial automation and control. Ignatov’s research bridges theoretical modeling and experimental validation, offering tools that enhance both the design and real-world performance of robotic manipulators. His contributions are particularly valuable for students and engineers working on robot simulation, motion planning, and precision control in manufacturing and automation contexts.