Danielle Alexis Feerst
Papers
2
Total Citations
45
H-Index
2
About
Danielle Alexis Feerst is a researcher at the intersection of social robotics, education, and assistive technology, with a focus on supporting neurodiverse populations. Her most cited work, “How Could Companion Robots Be Useful in Rural Schools?” (2018, 36 citations), explores the potential of robots to bridge educational gaps in underserved communities, highlighting their role in personalized learning and social skill development. Feerst’s earlier contribution, “A Cloud Robotic System based on Robot Companions for Children with Autism Spectrum Disorders to Perform Evaluations during LEGO Engineering Workshops” (2015, 9 citations), introduced a non-invasive method to measure anxiety and stress in children with autism using robot companions, eliminating the need for wearable devices. This work logs behavioral data during social skills training, offering a novel, unobtrusive evaluation tool. Feerst’s research demonstrates how cloud robotics and companion systems can enhance therapeutic and educational outcomes, making her a notable voice in human-robot interaction. Her innovative approach to integrating robots into real-world settings—from rural classrooms to autism interventions—underscores her commitment to accessible, empathetic technology.
Research Focus
Key Achievements
Top Papers
- 1How Could Companion Robots Be Useful in Rural Schools?36 citations · 2018
- 2