Renato De Mori

Papers

Total Citations

H-Index

About

Renato De Mori is a pioneering researcher in spoken dialogue systems and human-robot interaction, with a career spanning decades at the intersection of artificial intelligence, natural language processing, and robotics. His key research areas include probabilistic modeling of spoken dialogue, speech understanding for mobile robotics, and the design of intelligent interfaces for telerobotic control. De Mori’s major contributions lie in developing computational models that enable robots to interpret vague, context-dependent referring expressions—such as “the big box” or “very close to the door”—in natural language. His 2002 paper on understanding referring expressions in person-machine dialogue (11 citations) and his 1992 work on probabilistic person-robot dialogue (5 citations) laid foundational groundwork for context-aware speech recognition and language generation in autonomous systems. Notably, his 2002 procedural network model for operator-robot oral dialogue (4 citations) advanced the design of robust, real-time communication in telerobotics. Though his citation counts are modest, De Mori’s work is highly influential in niche domains of mobile robotics and spoken dialogue, demonstrating how probabilistic frameworks can bridge the gap between human speech and machine action. His research remains a touchstone for engineers developing natural, efficient human-robot collaboration.