Lorenzo Ferrini

TU Wien

Papers

4

Total Citations

22

H-Index

3

About

Lorenzo Ferrini is a leading researcher at the intersection of social robotics and natural language processing, with a focus on making human-robot interaction more intuitive and accessible. His major contributions center on developing open-source frameworks that enable robots to understand and respond to human speech and social contexts. In his highly cited 2023 work, Ferrini demonstrated how state-of-the-art tools like Vosk and Rasa can be integrated into PAL Robotics' ARI social robot, achieving 12 citations for enabling rich verbal interactions. He further advanced the field with his 2025 introduction of an open-source ROS 2 architecture and simulator for situated social robots, which combines symbolic and subsymbolic AI with explicit ontology semantics for perception and reasoning. Ferrini also pioneered the concept of "social embeddings"—compact, semantics-preserving mathematical representations of social situations built using large language models—a novel approach that promises to transform how robots interpret social dynamics. His work on spatially-grounded semantics (reMap) further bridges the gap between physical space and machine understanding. With his commitment to open-source solutions and interdisciplinary innovation, Ferrini is shaping the future of socially aware robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
22
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Open-source Natural Language Processing on the PAL Robotics ARI Social Robot
12 citations · 2023
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: TU Wien

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago