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DTSTART;TZID=America/New_York:20221118T103000
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SUMMARY:Fall 2022 GRASP on Robotics: Julie Adams\, Oregon State University\, "Towards Adaptive Human-Robot Teams: Workload Estimation"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \n  \nABSTRACT\nThe ability for robots\, be it a single robot\, multiple robots or a robot swarm\, to adapt to the humans with which they are teamed requires algorithms that allow robots to detect human performance in real time. The multi-dimensional workload algorithm incorporates physiological metrics to estimate overall workload and its components (i.e.\, cognitive\, speech\, auditory\, visual and physical). The algorithm is sensitive to changes in a human’s individual workload components and overall workload across domains\, human-robot teaming relationships (i.e.\, supervisory\, peer-based)\, and individual differences. The algorithm has also been demonstrated to detect shifts in workload in real-time in order to adapt the robot’s interaction with the human and autonomously change task responsibilities when the human’s workload is over- or underloaded. Recently\, the algorithm was used to post-hoc analyze the resulting workload for a single human deploying a heterogeneous robot swarm in an urban environment. Current efforts are focusing on predicting the human’s future workload\, recognizing the human’s current tasks\, and estimating workload for previously unseen tasks.
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-julie-adams/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
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