An Analysis of Human-Robot Information Streams to Inform Dynamic Autonomy Allocation
Christopher X. Miller,Temesgen Gebrekristos,Michael Young,Enid Montague,Brenna Argall,Christopher X. Miller,Temesgen Gebrekristos,Michael Young,Enid Montague,Brenna Argall
A dynamic autonomy allocation framework automatically shifts how much control lies with the human versus the robotics autonomy, for example based on factors such as environmental safety or user preference. To investigate the question of which factors should drive dynamic autonomy allocation, we perform a human subject study to collect ground truth data that shifts between levels of autonomy during...
