Riccardo De Benedictis
Institute of Cognitive Sciences and Technologies, National Research Council
Papers
13
Total Citations
224
H-Index
7
About
Riccardo De Benedictis is a leading researcher at the intersection of artificial intelligence and socially assistive robotics, with a primary focus on developing intelligent systems to support older adults and enhance their quality of life. His most impactful work includes the development of ROBIN, a telepresence robot that integrates sensor-rich environments for monitoring and social inclusion of older users, which has garnered 62 citations. De Benedictis has made significant contributions to emotion recognition in robotics through LEMON, a lightweight facial emotion recognition system using dilated residual convolutional neural networks (29 citations), and has pioneered adaptive interaction frameworks for socially assistive robots. His research on AI-enabled commercial telepresence robots and transformer-based approaches for action selection in social robotics demonstrates his commitment to making assistive technologies both intelligent and affordable. With over 200 total citations across his publications, De Benedictis has established himself as a key figure in active assisted living, having spent nearly two decades refining AI and robotics solutions that help older adults maintain independence. His work on mind-inspired architectures for adaptive human-robot interaction and incremental timeline-based planning represents cutting-edge advances in creating robots capable of personalized, contextualized, and continuous assistance.
Research Focus
Key Achievements
Top Papers
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- 4A dichotomic approach to adaptive interaction for socially assistive robots24 citations · 2022
- 5A Mind-inspired Architecture for Adaptive HRI22 citations · 2022
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- 7A Two-Layered Approach to Adaptive Dialogues for Robotic Assistance10 citations · 2020
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- 10A Transformer-Based Approach for Choosing Actions in Social Robotics2 citations · 2022