Matej Rojc

Papers

Total Citations

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About

Matej Rojc is a leading researcher in human-robot interaction, with a focus on developing synthetic behavior-generation models for artificial bodies. His work bridges visual perception, speech perception, and gesture synchronization to create more natural and effective social interactions between humans and robots. Rojc’s most cited paper, "TTS-Driven Synthetic Behaviour-Generation Model for Artificial Bodies" (2013, 11 citations), explores how gestures synchronized with verbal information enhance understanding and social engagement, even in the absence of physical contact. This foundational work has influenced the design of expressive robotic systems. More recently, Rojc contributed to "End-to-End Evaluation of the Decentralized Symmetric Model of Interaction for Socially Assistive Robotic Nurses" (2024, 5 citations), demonstrating his ongoing commitment to advancing assistive robotics. His research has significant implications for healthcare, particularly in developing robotic nurses that can interact empathetically and effectively with patients. Rojc’s contributions are shaping the future of socially assistive technologies, making human-robot collaboration more intuitive and impactful.