Giovanni Mosiello
Papers
2
Total Citations
16
H-Index
2
About
Giovanni Mosiello is a researcher focused on human-robot interaction, with a particular emphasis on enhancing the usability and autonomy of mobile robotic telepresence (MRP) systems. His work addresses the critical challenge of making remote communication via robots more natural and less cognitively demanding for users. Mosiello’s most cited paper, "Using Augmented Reality to Improve Usability of the User Interface for Driving a Telepresence Robot" (2013, 13 citations), pioneers the integration of augmented reality overlays to simplify navigation and control, directly improving the user experience for operators. He further advances this field with "Semi-autonomous cooperative driving for mobile robotic telepresence systems" (2014, 3 citations), which introduces shared control strategies to reduce operator burden, allowing users to focus on social interaction rather than manual driving. By targeting the interface and autonomy layers of MRP, Mosiello’s contributions help bridge the gap between technical functionality and natural human communication, making telepresence robots more accessible for novice users. His work is foundational for researchers developing intuitive, user-centered robotic systems for remote collaboration.
Research Focus
Key Achievements
Top Papers
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