About this Event
The Society is delighted to announce the IHFES April 2024 Lunch N Learn online webinar
25th of April 13.00 to 13:45 GMT
Title: Extended Reality for "Explainable" Human-Robot Collaboration.
Speaker: Mark Zolotas, Northeastern University
Bio:
Mark Zolotas received an M.Eng. (2016) and a Ph.D. (2021) from the Department of Electrical and Electronic Engineering at Imperial College London, UK. He then joined Northeastern University as a postdoctoral associate, before transitioning to a research scientist position in the university’s Institute for Experiential Robotics (2021-2024). Mark Zolotas has led multiple funded projects on collaborative robots and extended reality, including NSF and DARPA grants. His research interests span the domains of machine learning, shared control teleoperation, and extended reality interfaces to advance how robots interpret human behavior, provide autonomous assistance, and communicate with others. At the intersection of these interests is his overarching ambition to establish mutual understanding between humans and robots as they interact with one another.
Abstract:
In human-robot collaboration (HRC) applications, such as teleoperation, lack of user feedback can lead to critical task failures and heightened cognitive workload, as the robot's behavior may not align with the outcomes intended by the human. For example, shared autonomy is an HRC paradigm that attempts to form a synergy between the high-level cognition of a user and the low-level autonomy of a robot. However, achieving this synergy is a challenging endeavor that largely depends on whether the user understands the assistance provided by the robot's autonomy. Extended Reality (XR) headsets are an emerging technology in HRC aimed at addressing these discrepancies in the user's mental model of the robot's behavior. In this talk, I will present my work in XR for HRC as a step towards "explaining" the underlying autonomy to users.
Irish Human Factors and Ergonomics Society is inviting you to a scheduled Zoom meeting.
Join Zoom Meeting
https://zoom.us/j/98472120145?pwd=WUliR2ZlVnZnNVpydjIzUGlRbS9zUT09
Meeting ID: 984 7212 0145
Passcode: 117879
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Meeting ID: 984 7212 0145
Passcode: 117879
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Event Venue
Online
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