Maxim Kolesnikov
Bauman Moscow State Technical University, Polaris (United States)
Papers
2
Total Citations
40
H-Index
2
About
Maxim Kolesnikov is a researcher whose work bridges educational robotics and the nuanced control of human movement. His key research areas include project-based learning in robotics and the biomechanics of concurrent motion and force control. Kolesnikov’s major contributions are twofold: first, he pioneered a project-oriented approach to educational robotics, demonstrating how competitive robotic platforms can be repurposed for practical, real-world applications—a framework that has garnered 29 citations and influenced curriculum design. Second, he advanced the understanding of how humans simultaneously control motion and contact force under predictable disturbances, a critical but underexplored aspect of motor control. His 2019 paper on this topic, with 11 citations, provides foundational insights into nonisometric conditions, where force is applied without movement, offering implications for rehabilitation robotics and human-machine interaction. Kolesnikov’s work is notable for its interdisciplinary impact, connecting engineering education with fundamental motor neuroscience. His findings not only enrich theoretical models but also inform the design of assistive devices and robotic systems that interact seamlessly with humans.
Research Focus
Key Achievements
Top Papers
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