Papers
6
Total Citations
41
H-Index
4
About
Igor Gornostaev is a leading researcher in the field of mechatronics and robotics, specializing in motion planning and control for complex robotic systems. His work focuses on developing methods for generating optimal motion laws along smooth spatial trajectories, using parametric splines such as Bezier, B-spline, and Catmull-Rom splines. A key contribution is his method for automatically forming extremely high reference speeds for multilink manipulators and other mechatronic objects, including unmanned aerial vehicles and mobile robots, while respecting actuator power limitations. His 2016 paper on motion law formation has garnered 19 citations, establishing a foundation for subsequent studies. Gornostaev’s comparative analysis of spline-based trajectory generation (2022) provides critical insights for practitioners. His 2024 work extends these methods to multi-agent systems, enabling coordinated high-speed motion. Additionally, his 2015 research on adaptive control systems for robotic complexes demonstrates practical implementation, achieving maximum tool speed without sacrificing dynamic accuracy. With a growing citation record and a focus on both theoretical rigor and experimental validation, Gornostaev’s contributions are advancing the efficiency and autonomy of modern mechatronic systems.
Research Focus
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