Manousos Linardakis

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About

Manousos Linardakis is a researcher whose work spans human-computer interaction, computer vision, and multi-agent robotic systems — fields at the cutting edge of intelligent systems research. He has made significant contributions to the understanding of hand gesture recognition, co-authoring a comprehensive survey on the topic that has rapidly accumulated 16 citations since its 2025 publication, underscoring the field's appetite for rigorous, synthesizing scholarship. This survey addresses a critical gap in the literature by broadly covering visual input-based gesture recognition across applications including sign language interpretation, virtual and augmented reality, and robotics. Equally notable is Linardakis's research in autonomous multi-robot systems. His 2024 work on distributed maze exploration using multiple agents and optimal goal assignment, along with a complementary study introducing an efficient cost-utility method for multi-robot exploration, demonstrates a sustained interest in solving complex coordination and mapping challenges. These contributions push beyond single-agent paradigms toward scalable, collaborative robotic solutions. With a growing citation record across diverse yet interconnected domains, Linardakis is establishing himself as a versatile and productive researcher whose work bridges perception, interaction, and autonomous decision-making — making his profile particularly compelling for students exploring the frontiers of intelligent systems.