Ellen Landrum
Papers
1
Total Citations
15
H-Index
1
About
Ellen Landrum is a leading researcher at the intersection of artificial intelligence, human-robot interaction, and assistive technology. Her work centers on making socially assistive robots (SARs) more responsive and empathetic, particularly for vulnerable populations including older adults, children with autism spectrum disorder, and individuals facing mental health challenges. Landrum’s most cited paper, “How Can Large Language Models Enable Better Socially Assistive Human-Robot Interaction: A Brief Survey” (2024, 15 citations), provides a foundational framework for integrating large language models into SAR systems to enhance personalized cognitive-affective support. This work has quickly become a key reference for researchers aiming to bridge the gap between static robotic responses and dynamic, context-aware social interaction. Her contributions are shaping the next generation of assistive robots that can understand and adapt to users’ emotional and social cues in real time. Landrum’s research is notable for its direct impact on improving quality of life, offering scalable, intelligent companionship and therapeutic support for those who need it most.
Research Focus
Key Achievements
Top Papers
- 1