Carlos Carona
Papers
4
Total Citations
96
H-Index
3
About
Carlos Carona is a leading researcher at the intersection of assistive robotics and human-robot interaction (HRI), with a focus on developing intelligent systems for individuals with motor disabilities and for therapeutic child-robot interactions. His most impactful work includes a highly cited study (80 citations) on a self-paced brain-computer interface (BCI) for wheelchair driving, which introduced a collaborative controller to enhance reliability for physically disabled users—a breakthrough that reduces user workload while improving decoding accuracy. Carona also contributed to the design of the ISR-RobotHead, an LCD-based robotic head capable of emotional expressiveness, advancing the field of social robotics. More recently, he has pioneered deep-learning approaches for engagement classification in child-robot therapy sessions, using facial expression recognition with NAO humanoid robots. His latest work, the ISR-FABEL dataset and multimodal emotion recognition framework, integrates landmark-based features to improve emotion detection in children, addressing a critical gap in HRI for pediatric therapy. With a growing citation record and a clear trajectory toward more robust, real-world applications, Carona’s research is shaping the future of accessible, emotionally intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2ISR-RobotHead: Robotic head with LCD-based emotional expressiveness8 citations · 2017
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- 4