Suzie Kim

University of Chicago

Papers

1

Total Citations

20

H-Index

1

About

Suzie Kim is an emerging researcher specializing in human-robot interaction (HRI), with a particular focus on robot autonomy and its multidimensional implications for how humans and robots work together. Her most notable contribution to the field is her 2024 paper, "A Taxonomy of Robot Autonomy for Human-Robot Interaction," which has already garnered 20 citations in a short time — a strong indicator of its immediate relevance and impact within the robotics community. In this influential work, Kim challenges the conventional, one-dimensional understanding of robot autonomy — traditionally viewed simply as the degree to which a robot operates without human intervention — and proposes a richer, more nuanced taxonomy that reflects the growing sophistication of modern robotic systems. By reframing how researchers and designers conceptualize autonomy, her work opens new pathways for studying and engineering more effective human-robot collaborative systems. Kim's research is particularly timely as robots become increasingly integrated into everyday environments, from healthcare to manufacturing. Her ability to identify and address foundational conceptual gaps in HRI positions her as a promising and consequential voice in the future of robotics research.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
A Taxonomy of Robot Autonomy for Human-Robot Interaction
20 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Chicago

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago