Bogdan Robu

Institut polytechnique de Grenoble, Grenoble Images Parole Signal Automatique, Centre National de la Recherche Scientifique

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Total Citations

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About

Bogdan Robu is a researcher specializing in autonomous robotics, game theory, and advanced control systems, with a particular focus on applying Nonlinear Model Predictive Control (NMPC) to complex multi-agent scenarios. His most influential contributions center on pursuit-evasion games involving nonholonomic mobile robots, where he has pioneered the integration of game-theoretic strategies with predictive control frameworks to enable intelligent, real-time decision-making in competitive environments. Robu's most cited work, "Pursuit-evasion Game for Nonholonomic Mobile Robots With Obstacle Avoidance using NMPC" (2020, 22 citations), demonstrates how adversarial robotic interactions can be modeled and solved while simultaneously accounting for environmental obstacles — a significant practical advancement in autonomous navigation. His subsequent research expanded these ideas to incorporate game-theoretic algorithms that reduce computational demands without sacrificing strategic depth, accumulating 17 citations. His contributions to dynamic obstacle avoidance further underline his commitment to real-world applicability, garnering 15 citations. More recently, Robu has pushed toward experimental validation, presenting real-time implementations of target-defense differential games in obstacle-rich environments. Collectively, his work bridges theoretical control engineering and practical robotics, offering meaningful tools for applications in military defense, autonomous vehicles, and multi-robot coordination systems.