Christiane Goulart
Papers
7
Total Citations
143
H-Index
5
About
Christiane Goulart is a pioneering researcher at the intersection of social robotics and neurodevelopmental disorders, with a primary focus on leveraging robotic systems to improve social skills and emotional understanding in children with Autism Spectrum Disorder (ASD). Her work stands out for its innovative integration of multiple sensing modalities—combining visual and thermal imaging for emotion recognition, as well as electroencephalography (EEG) to evaluate brain signals during child-robot interactions. Goulart’s most cited study, “Analysis of the use of a robot to improve social skills in children with autism spectrum disorder” (54 citations), established the foundational promise of robotic tools in therapeutic settings. She further advanced the field by developing systems that allow mobile robots to autonomously detect and approach children while maintaining safe interaction distances, as detailed in her 2014 work (9 citations). Her research has garnered over 140 total citations, reflecting its growing influence in assistive robotics. Notably, her 2019 paper on visual and thermal image processing for landmark detection (53 citations) represents a significant technical contribution to affective computing. Goulart’s work is essential reading for anyone interested in how robotics can be ethically and effectively deployed to support children with disabilities.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Mobile robotics: A tool for interaction with children with autism9 citations · 2014
- 5
- 6Robot Toys for Children with Disabilities4 citations · 2017
- 7