Antonio Messina

Institute for High Performance Computing and Networking

Papers

Total Citations

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About

Antonio Messina is a researcher whose work spans the intersecting domains of social robotics, human-robot interaction (HRI), and intelligent distributed systems. His research focuses on designing and implementing sophisticated architectures that enable robots to engage meaningfully with humans across medical, social, and everyday contexts. Messina's most influential contribution, "Bidirectional Multi-modal Signs of Checking Human-Robot Engagement and Interaction" (2022, 18 citations), explores how multimodal communication — encompassing visual, auditory, tactile, and proxemic cues — can enhance the anthropomorphization of robotic systems, making interactions more natural and intuitive. His earlier work on DAISY (2002, 10 citations) demonstrated forward-thinking innovation in distributed intelligent architectures, laying conceptual groundwork for modern perceptual robotic systems. His research in robot-aided medical care (2020, 8 citations) highlights a commitment to socially impactful applications, positioning robots as meaningful partners in healthcare environments. Complementing this, his development of ASS4HR — an artificial somatosensory system inspired by biological sensory models and implemented in ROS — reflects his technical depth in embodied robotics. Together, Messina's body of work presents a researcher dedicated to bridging biological inspiration, intelligent system design, and real-world human-robot collaboration.