Kristen Tan
Papers
1
Total Citations
5
H-Index
1
About
Kristen Tan is a pioneering researcher in the field of eldercare robotics, with a focused interest in human-robot interaction for aging populations. Her most cited work, "Eldercare robotics revolution-explaining robotics for eldercare" (2017), has garnered 5 citations and stands as a foundational contribution to the practical application of assistive technologies. In this study, Tan employed TurtleBot 2 and NAO robots to develop experiments exploring how robotic systems can enhance the health, safety, and daily living of elderly individuals within home environments. Her research addresses the critical challenge of providing attentive care to a rapidly growing elderly demographic, bridging the gap between robotic capabilities and real-world caregiving needs. Tan’s work is notable for its hands-on, experimental approach, demonstrating tangible ways robots can monitor well-being, assist with tasks, and improve quality of life. As a researcher, she contributes to the broader discourse on aging-in-place technologies, offering insights that inform both robotic design and caregiving practices. Her efforts underscore the potential of robotics to revolutionize eldercare, making her a key voice in this emerging interdisciplinary field.
Research Focus
Key Achievements
Top Papers
- 1Eldercare robotics revolution-explaining robotics for eldercare5 citations · 2017