Anna G. Troshina

Papers

Total Citations

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About

Anna G. Troshina is a researcher specializing in embedded systems, mobile robotics, and control system modeling. Her work focuses on the intersection of software engineering and autonomous navigation, particularly for ground mobile robots operating in dynamic environments. In her 2018 paper, she critically examined the limitations of abstracting programmer operations as semi-Markov processes, highlighting the need for more sophisticated models to accurately represent embedded robot programming. Her 2019 contribution introduced a novel navigation method for scattered groups of mobile robots, leveraging Inversion of Control (IoC) principles to create a flexible software platform for optimal pathfinding and synchronization in non-stationary environments. While her citation counts (3 and 2, respectively) reflect a niche but growing impact, her work addresses fundamental challenges in real-time embedded control and multi-robot coordination. Troshina’s research is particularly relevant for engineers developing robust, adaptive systems for autonomous ground vehicles, offering practical techniques for managing uncertainty and dynamic obstacles. Her contributions underscore the importance of bridging theoretical modeling with practical software architecture in robotics.