Maria Andreyeva
Papers
1
Total Citations
39
H-Index
1
About
Maria Andreyeva is a leading researcher in multi-agent robotics and game-theoretic control, with a focus on decision-making under uncertainty. Her most-cited work, "Group strategy of robots in game-theoretic model of interception with incomplete information" (2015, 39 citations), addresses the challenge of coordinating a team of autonomous robots to intercept a moving target—such as a submarine periscope—when the target’s trajectory is unknown. In this foundational study, Andreyeva models the interception as a pursuit-evasion game, where two robots must collaboratively infer and predict the target’s motion using only partial observations. Her key contribution lies in developing a decentralized strategy that enables robots to adapt their movements in real time, balancing exploration and pursuit without requiring full communication or prior knowledge of the target’s intent. This work has influenced subsequent research in swarm robotics, autonomous surveillance, and search-and-rescue operations. Andreyeva’s research bridges theoretical game theory and practical robotic systems, demonstrating how incomplete information can be leveraged to achieve robust group behavior. Her achievements highlight the importance of strategic coordination in dynamic, uncertain environments, making her a notable figure in the field of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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