Joo Kooi Tana
Papers
1
Total Citations
3
H-Index
1
About
Joo Kooi Tana’s research centers on assistive robotics and human-robot interaction, with a particular focus on developing intelligent systems to support physically impaired individuals. Her most notable contribution is the 2017 paper “A human care system by a mobile robot employing cooperative objects recognition,” which proposes a novel framework where a mobile robot leverages cooperative object recognition—combining robotic sensors with human input—to navigate real-world environments and assist users. This work addresses a critical challenge: while object recognition remains difficult for robots in dynamic settings, humans excel at it. By integrating human cues, Tana’s system enhances robotic reliability and safety. Although her citation count is modest (3 citations for this paper), her research lays foundational groundwork for more intuitive, collaborative care robots. Tana’s approach underscores the importance of human-robot teamwork in assistive technology, offering a practical pathway toward safer, more responsive caregiving systems. Her work is particularly relevant for researchers exploring human-in-the-loop robotics, ambient assisted living, and socially aware automation, demonstrating how even low-citation contributions can inspire future innovations in human-centered robotics.
Research Focus
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Top Papers
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