Celia Sánchez-Girón
Papers
2
Total Citations
6
H-Index
2
About
Celia Sánchez-Girón is a rising researcher at the intersection of social robotics, artificial intelligence, and assistive technology. Her work focuses on two critical challenges: enabling intuitive human-robot interaction through large language models (LLMs) and developing robust computer vision systems for elderly care. In her 2025 paper on behavior tree generation and adaptation for social robot control with LLMs, she pioneers methods that allow robots to dynamically adjust their actions using natural language understanding, making human-robot collaboration more fluid and context-aware. Her 2024 study on integrating ConvNeXt and YOLO architectures with computer vision techniques for fall detection in social robots addresses a pressing societal need—protecting the growing elderly population living independently. By combining advanced deep learning models, she has created a system capable of detecting falls with high accuracy, directly contributing to safer aging-in-place environments. With her papers already garnering early citations, Sánchez-Girón’s work demonstrates the practical impact of merging state-of-the-art AI with socially assistive robotics, positioning her as a promising voice in human-centered technology development.
Research Focus
Key Achievements
Top Papers
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- 2