Papers
7
Total Citations
35
H-Index
5
About
Daeha Lee is a robotics researcher whose work spans multi-robot systems, autonomous coordination, and human-robot interaction, with a growing focus on socially assistive robotics for aging populations. His research has made notable contributions to the challenge of deploying heterogeneous robot teams in real-world environments, addressing fundamental questions of task allocation, autonomy, and cooperative behavior. Lee's earlier work established rigorous frameworks for coordinating multiple robots across complex indoor settings. His studies on cleaning large public spaces and indoor surveillance demonstrated practical algorithms for dynamic task reallocation, balancing efficiency with adaptability in changing environments. His exploration of human-in-the-loop control architectures offered nuanced insights into optimal autonomy levels, recognizing that real-world deployments rarely fit neatly into fully manual or fully autonomous paradigms. More recently, Lee has turned his attention to the pressing societal challenge of elderly care, particularly in the wake of the COVID-19 pandemic. His 2024 study on human-care robot services for the elderly — already accumulating citations — reflects a meaningful pivot toward technology with direct humanitarian impact. Collectively, his body of work, spanning over a decade of active research, positions him as a thoughtful contributor to the practical deployment of intelligent robotic systems in everyday human environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Strategy for cleaning large area with multiple robots6 citations · 2013
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- 5Multiple robots task allocation for cleaning a large public space5 citations · 2015
- 6Cooperative Multi-robot Searching Algorithm3 citations · 2012
- 7Multiple Robots Task Allocation for Cleaning and Delivery3 citations · 2016