About

Adriana Tapus is a pioneering researcher in socially assistive robotics and human-robot interaction, whose work has fundamentally shaped how robots are designed to support human health, rehabilitation, and well-being. Best known for co-defining the field of socially assistive robotics — a term whose foundational 2007 paper has accumulated over 535 citations — Tapus has dedicated her career to building robots that go beyond physical assistance to provide meaningful social and cognitive engagement. Her most influential contributions span several high-impact domains: developing personality-adaptive robots for post-stroke rehabilitation (401 citations), designing imitative robots to improve social engagement in children with autism (264 citations), and creating intelligent cognitive therapies for people with dementia (207 citations). Her work on user profiling and behavioral adaptation has further cemented her reputation as a leader in personalizing robot behavior to individual users' psychological and emotional profiles. Tapus's research consistently bridges cutting-edge artificial intelligence, behavioral science, and clinical application, exemplified by projects like ENRICHME, which deploys assistive robots in elderly home environments. With a body of work spanning over a decade and thousands of cumulative citations, she remains one of the most influential voices shaping the future of human-centered robotics.

Research Focus

Key Achievements

30
H-Index
138
Papers
4,696
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Socially assistive robotics [Grand Challenges of Robotics]
535 citations · 2007
📈 Most Prolific Year: 2015 (15 Papers)
🤝 Key Collaborators: 142
🏛 Institutions: Robotics Research (United States), University of Southern California, École Nationale Supérieure de Techniques Avancées, Université Paris-Saclay, École Polytechnique Fédérale de Lausanne, Laboratoire d’Informatique et Systèmes

Top Papers

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    Look Like Me
    152 citations · 2015
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Key Collaborators

Contact & Links

Available for collaboration
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