Adaptive Robot Autonomy based on Human's Mental State
CIS & ME seed funding — user-centred tools that adjust robot autonomy level in response to human cognitive load and trust. University of Melbourne, 30k AUD.
This project develops user-centred tools that enhance the interaction between workers and robotic systems by adjusting the level of autonomy of the robot in response to the human’s mental state (cognitive load and understanding of robot behaviour).
Role: Project Lead, Proposal co-author
Funding: CIS & ME 2023 Research Collaboration Seed Funding, University of Melbourne, 30k AUD
Duration: 2024