A. P. Rudomanenko

Bauman Moscow State Technical University

Papers

Total Citations

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About

A. P. Rudomanenko’s research focuses on the intersection of adaptive control theory and industrial robotics, with a particular emphasis on enhancing the precision and autonomy of robotic manipulators. Their most cited work, “Adaptive Control System for Industrial Robotic Manipulator” (2021), introduces a novel framework that dynamically adjusts control parameters in real time to compensate for environmental uncertainties and mechanical wear. This contribution addresses a critical bottleneck in manufacturing automation, enabling robots to maintain high accuracy without frequent manual recalibration. While the paper has garnered 4 citations, its influence is growing among engineers seeking cost-effective solutions for flexible production lines. Rudomanenko’s approach integrates model-based predictive algorithms with sensor feedback, offering a scalable pathway for retrofitting existing robotic systems. Their work is particularly notable for bridging theoretical control methods with practical industrial constraints, a balance that is often elusive in robotics research. By prioritizing robustness and adaptability, Rudomanenko has laid groundwork for future studies on self-tuning manipulators, making their research a valuable reference for students and professionals aiming to advance smart manufacturing technologies.