Autonomous robotics are increasingly taking on lots of the physical workload for people. Current human robotic interaction research looks at how collaborative robots might adapt with an awareness of the mental workload being experienced by users. Research continues to develop on two fronts: making estimates of user state from mixed observable data and from understanding how different options for autonomy affect the efforts of users. This project will seek to embody recent research findings into a reusable demonstrator for future studies of autonomous cobots and test the application of a new neuroergonomics machine learning framework.
Project dates: November 2022 – March 2023