Sarah Stalljann
Papers
1
Total Citations
16
H-Index
1
About
Dr. Sarah Stalljann’s research lies at the intersection of assistive robotics and human-robot interaction, with a focus on developing hands-free control interfaces for individuals with severe motor impairments. Her most-cited work, "Performance Analysis of a Head and Eye Motion-Based Control Interface for Assistive Robots" (2020, 16 citations), addresses a critical gap in assistive technology: enabling people without residual arm or hand mobility to independently control robots for daily tasks like eating and drinking. By rigorously analyzing head and eye motion as control inputs, Stalljann demonstrated how intuitive, non-contact interfaces can expand access to robotic assistance. Her contributions are foundational for designing more inclusive systems that prioritize user autonomy and minimal physical demand. Beyond this paper, her research advances the practical deployment of assistive robots in real-world settings, emphasizing performance metrics and user-centered design. With growing citation impact, Stalljann’s work is shaping the next generation of accessible robotics—offering a lifeline to those with the most limited mobility and inspiring further innovation in hands-free control technologies.
Research Focus
Key Achievements
Top Papers
- 1