Rebecca Ramnauth
Papers
7
Total Citations
54
H-Index
3
About
Rebecca Ramnauth is a human-robot interaction (HRI) researcher whose work sits at the intersection of social robotics, accessibility, and real-world deployment. She is best known for developing robot-assisted interventions that support underserved populations, particularly adults and children with Autism Spectrum Disorder (ASD). Her research on improving workplace readiness for adults with ASD — including helping them manage interruptions and practice small talk — reflects a consistent commitment to translating robotics research into meaningful social impact. Her 2021 paper on deploying VectorConnect during the COVID-19 pandemic (18 citations) demonstrated her ability to rapidly design and field-test robotic systems under challenging real-world constraints. Her comprehensive 2025 review of 120 long-term HRI studies across two decades (15 citations) has already become a valuable resource for the research community, offering rare empirical breadth in a field where longitudinal work remains scarce. Additional contributions in audio-based social presence detection and skill-sensitive assistance frameworks reveal her broader interest in making robots more contextually aware and socially intelligent. Ramnauth's work is notable for its consistent emphasis on ethical, human-centered design — asking not just what robots *can* do, but what they *should* do.
Research Focus
Key Achievements
Top Papers
- 1Challenges Deploying Robots During a Pandemic18 citations · 2021
- 2
- 3
- 4
- 5
- 6
- 7A Robot-Assisted Approach to Small Talk Training for Adults with ASD1 citations · 2025