Robots as tools for understanding human behavior.

I build theories about how people think, learn, and interact with the world around them [HRI'22, THRI'23, RO-MAN'24]. Then, I apply these theories to develop robot-assisted interventions to better support users of various cognitive and technical abilities [HRI'22, HRI'21, HRI'25].

Such theories include a theoretical framework for discerning socially appropriate robotic assistance, robot-assisted social skills interventions for Autism Spectrum Disorder, long-term mental health support for caregivers of and individuals with dementia, a teleoperated robot platform for mitigating social isolation during the COVID-19 pandemic, designing robotic environments for social-emotional regulation for NYC public schools, and building custom social robots for anxiety reduction on university campuses.

Roboticist · Researcher · NPO Director

Currently, I am a Ph.D. candidate (ABD) at Yale University in robotics and a member of the Social Robotics Lab advised by Brian Scassellati. During my six years at Yale, I've co-written the Handbook for Residental Deans, led course sections in AI and Robotics, and have advised over 20 students towards their thesis.

Prior to Yale, I was the Assistant Dean for Research and Curriculum Development at LIU and a lecturer at various universities. Beyond lecture halls and research labs, I am the Director of the MIA Foundation, a non-profit that partners with local businesses and provides annual scholarships to support employment for adults with Autism Spectrum Disorder.

Awards


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My research is currently supported by awards from the National Science Foundation (NSF), the National Academies of Science, Engineering, and Medicine (NASEM), the National Institutes of Health (NIH), and the U.S. Office of Naval Research (ONR). Past awards include the NSF Expedition in Computing (Socially Assistive Robotics) and generous donations from the Yale Alumni Association.

Awarded 2020 National Science Foundation Graduate Research Fellowship

The NSF-GRFP is a prestigious grant awarded to approximately < 10% of student applicants pursuing research-based graduate degrees · $46,000 x 3 yrs + $5,000/term · "Discovering the Neural Mechanisms of Dyadic Social Interaction Using Human-Robot Interaction"

Awarded 2020 NASEM Ford Foundation Predoctoral Fellowship

The Ford Fellowship is a competitive grant awarded to < 5% of Ph.D. or Sc.D. students applicants by the National Academics of Science, Engineering, and Medicine · $27,000 x 3 yrs · "Developing Long-Term, In-Home Socially Assistive Robots for Adults with Autism"

Designing Deep-Breathing Robots

A core theme of my research is to design systems that support social and mental well-being in clinically meaningful way. I have developed custom robots like Ommie to support anxiety reduction in users as young as pre-school-age to seniors with dementia. By mimicking the rhythm of deep breaths through mechanical movements, Ommie provides tactile feedback and a calming social presence.

For instructions on building your own Ommie or to read about our journey developing it, visit the Ommie repository [coming Feb. 2025].

Long-Term, In-Home Social Robots for Autism

Another branch of my research explores how robots can assist in diagnosing, treating, and understanding social disorders like ADHD, OCD, and Autism Spectrum Disorder (ASD). We focus on designing long-term, in-home, robot-assisted interventions for individuals with ASD, highlighting the predictive role of behavioral markers and the clinical relevance of these interventions. Key challenges include developing automated measures in dynamic home environments, ensuring robots are robust for daily, long-term use, and bridging the gap between research and clinical application. Our work demonstrates that robots can be effective tools for autism therapy, offering reliable, long-term solutions for in-home use.

Robot-Assisted Therapy for Adults with Autism

Leveraging our previous successes in the development of socially assistive robots for ASD interventions [HRI'22, HRI'25], we developed the Interruption Skill Training and Assessment Robot (ISTAR), an in-home autonomous training system that helps adults with ASD to practice handling workplace-relevant interruptions [2, 3]. ISTAR is rigorously evaluated by surveys of employers and adults with ASD, and a week-long study in the homes of adults with ASD during the COVID-19 pandemic. It is the first in-home robot-assisted intervention for adults with ASD.

New York Times IEEE Pulse Tech & Learning Yale Daily News YSEAS

Fighting Social Isolation During COVID-19

One facet of my research focuses on creating robust systems capable of autonomous operation in dynamic, unstructured settings like homes. The COVID-19 pandemic highlighted several opportunities in our daily lives for which robots can play a social role [4].

In response, we developed a robot teleoperation system tailored for elementary school-aged children, allowing them to engage in physical play even when physically separated [5]. This approach empowers children to control the actions of robots in their friends' homes and communicate with them. The outcomes of our research, along with user feedback, suggest that robots can offer a fun and safe means for individuals to connect socially during a global pandemic. For more information about this project, visit Robots for Good.

Events

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  • Ph.D., Computer Science · Yale University

    Ph.D., Computer Science · Yale Social Robotics Lab · Advisor: Brian Scassellati

    M.Sc. in Computer Science · Yale Social Robotics Lab · Brain Function Lab
    Project: Discovering the Neural Mechanisms of Dyadic Social Communication using Human-Robot Interaction · Advisors: Brian Scassellati and Joy Hirsch

  • AI For Future Presidents

    The rapid and nearly pervasive impact of AI on fields as diverse as medicine, law, banking, and the arts has made many students who would never enroll in a computer science class become interested in understanding elements of AI. Fueled by questions about how AI would change their own fields, these students are not seeking to become experts in building AI systems but instead are searching for a sufficient understanding to be safe, effective, and informed users. CS170 aims to encourage critical thinking about AI and its relevance for non-CS majors, without technical prerequisites.

  • Keynote · Dept. of Education Tech Summit

    "When Rebecca Ramnauth talks about AI and robots, she doesn’t speak about whether they will replace human tasks or facilitate more efficient teaching and learning. Instead, she discusses the ways in which AI and robots can help us better connect with one another as humans." — Erik O. for Tech & Learning Magazine