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X-WR-CALNAME:University of Toronto Robotics Institute
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X-WR-CALDESC:Events for University of Toronto Robotics Institute
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DTSTART:20260101T000000
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DTSTART;TZID=UTC:20260529T150000
DTEND;TZID=UTC:20260529T160000
DTSTAMP:20260521T024826
CREATED:20260504T134903Z
LAST-MODIFIED:20260504T134903Z
UID:43849-1780066800-1780070400@robotics.utoronto.ca
SUMMARY:Robotics Institute Seminar: Jie Ying Wu\, "Real-time 3D representations of surgical scenes for automating surgical robots"
DESCRIPTION:Real-time 3D representations of surgical scenes for automating surgical robots \nJoin in MY580 or online (Zoom) \nEfficient and effective surgery requires accurate models of the surgical scene. Surgeons must learn to create mental maps of complex 3D structures and register them to the operative field. To enable generalizable\, robust automation in surgical robots\, the robot also must learn to create 3D maps of the operative field from limited training data. This talk focuses on using multi-modal fusion to create 3D representations of surgical scenes. This 3D representation can improve learning efficiency of automation algorithms and generalization between cases. We use simultaneous localization and mapping to create to-scale models of surgical scenes\, monocular depth estimation to update the scene in real time\, and the soft-tissue models to track motion of unseen portions of the surgical scene. We have demonstrated surgical autonomy in central airway obstruction in ex vivo and cadaver models. Building interpretable signals through intermediate representations within a learning framework may also increase trust in the algorithm’s outputs and facilitate adoption and human-in-loop use. \nSpeaker bio \nJie Ying Wu is an assistant professor at Vanderbilt University’s Department of Computer Science. Before joining Vanderbilt\, she obtained her Ph.D. from Johns Hopkins University (2021)\, M.Sc. from École normale supérieure Paris-Saclay (2016)\, and B.Sc. from Brown University (2015). Her work explores using machine learning and augmented reality techniques to enable the surgical tools to provide more active guidance. Her augmented reality work focuses on increasing collaboration in the operating room while her robotics work focuses on increasing automation and improving surgical training. As a part of this endeavor\, Jie Ying improved the stability of an open-source surgical robotics platform\, the da Vinci Research Kit\, and laid out the framework for the next generation of that system.
URL:https://robotics.utoronto.ca/event/robotics-institute-seminar-jie-ying-wu-real-time-3d-representations-of-surgical-scenes-for-automating-surgical-robots/
LOCATION:Myhal Centre for Engineering Innovation & Entrepreneurship\, Room 580\, or on Zoom\, 55 St. George Street\, Toronto\, Ontario\, M5S 0C9\, Canada
CATEGORIES:U of T Robotics Institute Seminar Series
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DTSTART;VALUE=DATE:20260721
DTEND;VALUE=DATE:20260723
DTSTAMP:20260521T024826
CREATED:20260223T152258Z
LAST-MODIFIED:20260429T124922Z
UID:43706-1784592000-1784764799@robotics.utoronto.ca
SUMMARY:2026 Toronto Robotics Conference
DESCRIPTION:Join the University of Toronto Robotics Institute’s expert network for a two-day\, multi-track showcase of the latest AI-robotics research across the University of Toronto and the GTA! \nDetails \n\nDates: July 21-22\, 2026\nLocation: University of Toronto Mississauga\nRegistration: Opening May 2026\n\n​What you can expect \n\n​Listen to tech talks from AI-robotics experts across the University of Toronto and the GTA\n​Attend keynote talks from national and international experts\n​Experience indoor and outdoor demos from labs and student teams across the university\n​Network with faculty\, students\, alumni and industry partners\nand more to be announced soon!\n\nBecome an event sponsor \n​Whether you want to connect with top Robotics Institute graduate students\, showcase your latest technology\, demonstrate your thought leadership or promote your brand\, there’s a sponsorship package for you! View our sponsorship prospectus to learn more about sponsor benefits and pricing. \nLearn more about the 2026 Toronto Robotics Conference \nSign up for our newsletter to get the latest event updates!
URL:https://robotics.utoronto.ca/event/2026-toronto-robotics-conference/
LOCATION:University of Toronto Mississauga
CATEGORIES:Toronto Robotics Conference
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