Nikita Murasovs

University of Leeds, University of Aberdeen

Papers

Total Citations

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About

Nikita Murasovs is an emerging robotics researcher whose work centers on the control of mobile robotic systems, with a particular focus on two-wheeled self-balancing robots — a class of statically unstable, nonlinear systems that present significant engineering challenges. His research explores innovative control strategies to manage the complex, tightly coupled dynamics inherent in such platforms, pushing beyond conventional linearization techniques that traditionally limit performance. Murasovs has made notable contributions by investigating both switching control architectures and evolutionary computation approaches to robot stabilization. His 2025 paper on genetic algorithm-based control — already accumulating 8 citations — demonstrates his interest in leveraging bio-inspired optimization to design robust controllers, offering a compelling alternative to analytically derived or manually tuned solutions. His earlier 2021 work on switching control strategies, with 3 citations, laid important groundwork in addressing the nonlinear control problem through adaptive, mode-switching frameworks. Together, these contributions position Murasovs as a researcher actively bridging classical control theory and modern computational intelligence within mobile robotics. His work is particularly relevant to students and engineers working on autonomous systems, balancing robots, and real-world robotic deployment across industrial and service applications.