Larisa Vikhrova
Papers
2
Total Citations
10
H-Index
2
About
Larisa Vikhrova is a researcher specializing in optimal and robust control theory for multi-agent robotic systems. Her primary focus lies in the design of onboard control systems for autonomous mobile groups, particularly those structured around a leader and follower agents. Vikhrova’s major contribution is the development of novel synthesis methods for optimal multivariable control systems that can operate under real-world constraints, including random environmental effects and disturbances. Her most cited work, "Optimal Robust Control of a Robots Group" (2019, 8 citations), introduces a pioneering approach to ensure both optimal performance and robustness in leader-following robot formations. Building on this, her earlier paper "Optimal control of leader-following robots under random effects" (2017, 2 citations) lays the foundational framework for handling stochastic uncertainties in group coordination. While her citation counts are currently modest, Vikhrova’s work is technically significant for advancing the practical deployment of autonomous swarms, addressing critical challenges in stability, resilience, and decentralized decision-making. Her research is particularly relevant for applications in search-and-rescue, environmental monitoring, and collaborative manufacturing, where reliable group behavior under unpredictable conditions is essential.
Research Focus
Key Achievements
Top Papers
- 1Optimal Robust Control of a Robots Group8 citations · 2019
- 2Optimal control of leader-following robots under random effects2 citations · 2017