Y Aakash
Papers
1
Total Citations
3
H-Index
1
About
Y Aakash is a researcher in human-robot interaction, with a focus on trust dynamics and collaborative robotics. Their work centers on understanding how humans perceive and calibrate trust in real-time during shared-space interactions with robots. Aakash’s most-cited paper, “Capturing Dynamic Trust Metrics during Shared Space Human Robot Collaboration: An eye-tracking approach” (2022), introduces a novel method using eye-tracking to measure trust fluctuations as they occur, moving beyond static surveys. This contribution provides a foundation for designing more adaptive and socially aware robots that can respond to human cues. Although early in their career, with 3 citations to date, the paper’s interdisciplinary approach—bridging cognitive science, robotics, and human factors—positions Aakash as an emerging voice in trust-aware automation. Their work has implications for safer, more intuitive collaboration in manufacturing, healthcare, and service robotics. Aakash’s research is particularly notable for its emphasis on non-invasive, real-time metrics, offering a scalable path to studying trust in naturalistic settings.
Research Focus
Key Achievements
Top Papers
- 1