Raquel Fuentetaja

Universidad Carlos III de Madrid

Papers

6

Total Citations

51

H-Index

5

About

Raquel Fuentetaja is a leading researcher in social assistive robotics, with a focus on developing autonomous systems that improve human care in healthcare settings. Her work spans cognitive robotics, automated planning, and human-robot interaction (HRI), particularly for geriatric and neurorehabilitation applications. She is best known for her role in the CLARC project, which introduced a cognitive robot designed to assist geriatric doctors in real clinical scenarios—a paper that has garnered 20 citations and laid the groundwork for practical robot deployment in elder care. Fuentetaja’s major contributions include the AUSUS evaluation framework, which extends traditional usability and social acceptance metrics with accessibility indicators, earning 10 citations and advancing how robots are assessed in real-world environments. She has also pioneered the use of automated planning models for HRI, enabling robots to autonomously guide gamified neurorehabilitation therapies for pediatric patients, as highlighted in her 2024 work. Her research on integrating AI planning with social robotics has been recognized for its potential to enhance patient motivation and therapy adherence. With a growing citation impact and a focus on bridging technical innovation with clinical needs, Fuentetaja is shaping the future of assistive robotics in healthcare.

Research Focus

Key Achievements

5
H-Index
6
Papers
51
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
CLARC: A Cognitive Robot for Helping Geriatric Doctors in Real Scenarios
20 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Universidad Carlos III de Madrid

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago