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About

A. Mokaeva is a researcher advancing the frontiers of robotics and automation, with a focus on collaborative systems and specialized mobile platforms for industrial maintenance. Her work centers on the development of robotic solutions for challenging environments, including the vertical movement of robots on magnetic caterpillar tracks—a key contribution detailed in her most-cited paper (7 citations), which explores the dynamics of a novel robot for vertical surfaces. She has made significant contributions to the paradigm of Evolvable Assembly Systems (EAS), advocating for autonomous, context-sensitive assembly lines that adapt alongside products and processes. Mokaeva’s research also addresses practical industrial challenges, such as the use of multifunctional modular robots for marine vessel maintenance and the robotization of aircraft hull assembly through human-robot collaboration. Her work on multi-agent systems for group control in collaborative cells further demonstrates her impact on smart manufacturing. With a portfolio of papers from 2019 to 2020, Mokaeva is shaping the future of adaptive, cooperative robotics, offering scalable solutions that enhance efficiency and safety in complex industrial tasks.