Eye-Hand Behavior in Human-Robot Shared Manipulation

摘要: Shared autonomy systems enhance people's abilities to perform activities of daily living using robotic manipulators. Recent succeed by first identifying their operators' intentions, typically analyzing the user's joystick input. To this recognition, it is useful characterize behavior while performing such a task. Furthermore, eye gaze rich source information for understanding operator intention. The goal paper provide novel insights into dynamics control and in human-robot shared manipulation tasks. achieve goal, we conduct data collection study that uses an tracker record during activity, both with without assistance. We process signals from extract features like saccades, fixations, smooth pursuits, scan paths. analyze those identify patterns behaviors highlight where these are similar different previous findings about human-only work described lays foundation model natural human manipulation.