Javier Lorenzo-Navarro
Papers
13
Total Citations
106
H-Index
7
About
Javier Lorenzo-Navarro is a leading researcher in human-robot interaction (HRI), with a focus on making robots more perceptive, sociable, and secure. His work spans key areas including multi-biometric user verification, audio-visual person re-identification, and affective robotics. A major contribution is his development of deep multi-biometric fusion techniques that combine audio and image inputs for robust user verification, as demonstrated in his 2021 paper (16 citations) and 2020 work on deep multi-biometric fusion (10 citations). He also pioneered the use of low-cost thermal sensors to enhance people detection in mobile robots (15 citations), a practical innovation for real-world deployment. Notably, Lorenzo-Navarro led the creation of the CASIMIRO robot head (12 citations), an expressive platform for natural multimodal interaction, and the AveRobot dataset (10 citations), a benchmark for audio-visual re-identification in HRI. His early work on the BDIE architecture (9 citations) integrated emotional components into BDI agents, advancing sociable robotics. With over 100 total citations, his research has enabled robots to operate as personal guides in multi-floor environments (5 citations) and as museum assistants, as seen with the Eldi robot. Lorenzo-Navarro’s engineering approach to sociable machines continues to shape the future of intuitive, trustworthy robot companions.
Research Focus
Key Achievements
Top Papers
- 1
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- 3CASIMIRO: a robot head for human-computer interaction12 citations · 2003
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- 5
- 6BDIE: a BDI like architecture with emotional capabilities9 citations · 2004
- 7An engineering approach to sociable robots9 citations · 2007
- 8Eldi: an agent based museum robot7 citations · 2001
- 9
- 10Multimodal Attention System for an Interactive Robot5 citations · 2003