Felipe Cid
Papers
2
Total Citations
89
H-Index
2
About
Felipe Cid is a leading researcher in affective human-robot interaction, with a core focus on enabling robots to perceive, recognize, and imitate human emotions in real time. His most-cited work introduces *Muecas*, a multi-sensor humanoid robotic head designed to study the mechanisms of perception and imitation of human expressions and emotions. This platform, detailed in a 2014 paper with 57 citations, allows for direct, intuitive interaction between humans and robots, bridging the gap in social robotics. Complementing this, Cid developed a robust, real-time facial expression recognition and imitation system using Gabor filtering, published in 2013 (32 citations). This system achieves fast and reliable facial feature extraction, enabling a robot to mirror a user’s emotions during interaction—a critical step toward more natural and empathetic machines. His contributions are foundational for creating socially aware robots that can engage in non-verbal communication, with applications in assistive technology and therapy. By combining hardware design with advanced computer vision, Cid has advanced the field of affective computing, demonstrating how robots can become more than tools—they can be companions.
Research Focus
Key Achievements
Top Papers
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