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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20241115T181510
DTSTART;TZID=America/Detroit:20241031T110000
DTEND;TZID=America/Detroit:20241031T170000
SUMMARY:Exhibition:Arbor Glyph
DESCRIPTION:Arbor Glyph is an installation centered around a collective painting of trees\, created by Stamps students and activated by a colorful projection repurposing hand-painted elements and bringing them to life. The goal of the exhibition is to foster collaboration among student artists and engage the Stamps community\, encouraging participation through a student painting party earlier this month\, with a focus on inclusion\, expression\, and finding solace in local landscapes.The Student-led Exhibition Committee (SEC) is a newly-formed group of students\, faculty\, and staff\, aiming to create more opportunities for undergrads to exhibit on campus. Arbor Glyph follows their Winter 2024 salon-style exhibition L'Assemblage in the Stamps Art &amp\; Architecture Building\, further developing students' experience planning extracurricular exhibitions by showing in the Stamps Gallery\, and taking a new approach to creating/curating artwork.
UID:127895-21859894@events.umich.edu
URL:https://events.umich.edu/event/127895
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Art
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20241030T091958
DTSTART;TZID=America/Detroit:20241031T110000
DTEND;TZID=America/Detroit:20241031T190000
SUMMARY:Exhibition:Beautiful Works of Art - Student Art Exhibition
DESCRIPTION:Join us in our 4th floor Atrium to view our next student art exhibition\, Beautiful Works of Art. This exhibition showcases favorite pieces of art from 5 undergraduate students from the Stamps School of Art & Design.  Each artist brings her unique style to the exhibit with works spanning painting\, illustration and multimedia. \n\nThe exhibition will be on display from October 31 - November 27.\n\nArtists include Cate Bennett\, Georgia Gutkin\, Chloe Kreindler\, Meggie Kennedy & Brianna Sorkin
UID:128511-21861037@events.umich.edu
URL:https://events.umich.edu/event/128511
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Art,Arts,Culture,Exhibition,Free,Palmercommons,Visual Arts
LOCATION:Palmer Commons - 4th Floor Atrium
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20241024T151713
DTSTART;TZID=America/Detroit:20241031T110000
DTEND;TZID=America/Detroit:20241031T130000
SUMMARY:Presentation:In-Hand Object Localization with Proprioception and Tactile Feedback
DESCRIPTION:Chair: Nima Fazeli\n\nNote: Halloween costumes for audience members allowed (if not encouraged!)\n\nAbstract:\nSafe operation in unstructured environments\, like homes or offices\, is imperative for robust robotic systems. At the core of unstructured environments is uncertainty. Failing to consider uncertainty can lead to downstream task failures with costly and even dangerous consequences.\n\nThere are many types of uncertainty that need to be considered for real-world systems in unstructured environments. In this dissertation\, I focus on uncertainty of in-hand object pose for objects grasped by a robotic system. If not addressed\, this type of uncertainty can lead to potential failures including grasp instability and unexpected or unreliable contacts made with the environment (including other robots\, objects\, or humans). These types of failures significantly impact task performance for applications including robotic tool use\, assembly\, object hand-over\, and human-robot interaction.\n\nThis dissertation makes several contributions to in-hand object pose estimation using proprioceptive and tactile feedback. Firstly\, I provide a proprioceptive method to estimate contact locations and in-hand object poses simultaneously in a bimanual system from single contact-rich interactions. Then\, I build upon this approach to connect several sequential actions in order to more precisely estimate in-hand object poses. Next\, I incorporate robot proprioception uncertainty with this proprioceptive in-hand object pose estimation framework to adapt to real-world challenges with configuration-dependent robot proprioception uncertainty. Finally\, I introduce the GelSlim 4.0 sensor\, a powerful visuotactile sensor that enables key tactile sensing capabilities like depth estimation and shear field estimation. With accessibility as an explicit design goal\, this sensor is accompanied by open-source manufacturing documentation that we user-tested with 17 novice users. In summary\, this dissertation contributes algorithms and hardware for robotic manipulation that leverage proprioceptive and tactile feedback to address uncertainty in in-hand object poses.
UID:128294-21860604@events.umich.edu
URL:https://events.umich.edu/event/128294
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Michigan Robotics,Robotics
LOCATION:Ford Robotics Building - 2300
CONTACT:
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