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DTSTAMP:20250429T181504
DTSTART;TZID=America/Detroit:20250421T110000
DTEND;TZID=America/Detroit:20250421T170000
SUMMARY:Exhibition:Perspective{s}: The 2025 IP Exhibition
DESCRIPTION:All Stamps seniors who are enrolled in the year-long Integrative Project course participate in the IP Exhibition held each spring\, which is the culmination of their thesis work. The senior studio spaces in the Stamps Art &amp\; Architecture Building are transformed into exhibition space\, with 4D work featured in a group screening and reel\, and selected projects displayed in the A&amp\;A Street Gallery. \n\nExhibition Dates: April 21 – May 3\, 2025Art &amp\; Architecture Building\, 2000 Bonisteel BlvdOpen Monday through Saturday\, 11 a.m. to 5 p.m.\nOpening Reception: Friday\, April 25\, 1-8 p.m.Film/Video Screenings will take place in the Art &amp\; Architecture Auditorium on Friday\, April 25\, 2025 at 4 p.m. and 6 p.m. (followed by a talkback with the filmmakers)\, and on Saturday\, May 3 at 2 p.m.
UID:131205-21867952@events.umich.edu
URL:https://events.umich.edu/event/131205
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Art
LOCATION:Off Campus Location
CONTACT:
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DTSTAMP:20250122T121737
DTSTART;TZID=America/Detroit:20250421T120000
DTEND;TZID=America/Detroit:20250421T123000
SUMMARY:Performance:Adam Lenhart\, carillon
DESCRIPTION:Undergraduate student Adam Lenhart performs on the Charles Baird Carillon\, an instrument of 53 bronze bells located inside the Burton Memorial Tower. The largest bell\, which strikes the hour\, weighs 12 tons\, while the smallest bell\, 4½ octaves above\, weighs just 15 pounds. As part of Lenhart’s American Women Concert Series\, this recital program celebrates the life\, legacy & music of Carole King (b.1942).\n\nThirty-minute recitals are performed on the Charles Baird Carillon at noon every weekday that classes are in session\, followed by visitor Q&A with the carillonist. The bell chamber may be accessed via a combination of elevator and stairs. Take the elevator to the highest floor possible (floor 8)\, and then climb two flights of stairs (39 steps) to the bell chamber (floor 10). Hearing protection earmuffs are provided for visitors. Be prepared to walk on ice and snow in the bell chamber during winter. Built in 1936\, the Charles Baird Carillon is not ADA accessible. Visitors with mobility concerns are invited to visit the Lurie Carillon.
UID:131590-21868788@events.umich.edu
URL:https://events.umich.edu/event/131590
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Free,Music,Talk
LOCATION:Burton Memorial Tower
CONTACT:
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DTSTAMP:20250421T113230
DTSTART;TZID=America/Detroit:20250421T120000
DTEND;TZID=America/Detroit:20250421T160000
SUMMARY:Exhibition:Bloody Work: Lexington and Concord 1775
DESCRIPTION:The William L. Clements Library is pleased to announce a forthcoming exhibition in recognition of the 250th Anniversary of the military hostilities that began the American Revolutionary War. The Battles of Lexington and Concord are firmly established in American memory as the culmination of a range of governmental\, political\, economic\, and social tensions that amplified in the decade leading up to 1775. In this exhibit\, visitors will have the opportunity to see original historical manuscript letters\, documents\, newspapers\, and artwork that reveal aspects of the bloody work of Empire and individual alike in April 1775.\n\nAmong the items on display will be Commander in Chief of the British Army\, General Thomas Gage's draft orders for the Concord Expedition\, April 18\, 1775\; a bundle of letters collected by former Sons of Liberty supporter Dr. Benjamin Church\, which he secretly turned over to British Army intelligence\; letters by Silas Deane\, John Hancock\, and Rachel Revere\; and much more.\n\nOpen weekdays from 12-4 pm.
UID:134875-21875508@events.umich.edu
URL:https://events.umich.edu/event/134875
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Library,libraries,history,Free,Exhibition,Exhibit,Ann Arbor,Americana,american history,american culture
LOCATION:William Clements Library
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250415T163047
DTSTART;TZID=America/Detroit:20250421T120000
DTEND;TZID=America/Detroit:20250421T163000
SUMMARY:Social / Informal Gathering:Community Kickback: Come n Go Series
DESCRIPTION:Welcome to the Student Culture Lounge's (SCL) Come & Go Programming Series—a vibrant\, interactive experience for students to connect\, engage\, and unwind in a welcoming environment on North Campus. Our series offers a casual\, yet enriching opportunity to explore diverse topics and cultures through themed events\, featuring delicious food. Whether you're a new face or a familiar friend\, this series is designed to make you feel appreciated by the Office of Culture\, Community & Equity (OCCE) and to introduce or reconnect you with the SCL.\n\nEvents will take place from 12-1:30pm & 3-4:30pm
UID:133659-21873359@events.umich.edu
URL:https://events.umich.edu/event/133659
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Community,Diversity,Engineering,Free,Graduate,Graduate And Professional Students,Inclusion,Michigan Engineering,Multicultural,Undergraduate,Undergraduate Students
LOCATION:Engineering Research Building (ERB - formerly IST) - Student Culture Lounge
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250403T135845
DTSTART;TZID=America/Detroit:20250421T120000
DTEND;TZID=America/Detroit:20250421T140000
SUMMARY:Presentation:Deep Learning Methods for Autonomous Underwater Survey\, Reacquisition\, and Close-Range Inspection
DESCRIPTION:Committee Chair: Katherine Skinner\n\nAbstract: \nUnderwater robots perform crucial search\, inspection\, and manipulation tasks in environments that are dangerous\, impractical\, or impossible for humans to operate in. In order to safely perform useful work\, it is crucial for these robotic systems to be equipped with algorithms that enable spatial awareness\, decision making\, and localization. Alternate sensing modalities such as sonar address some of these challenges but introduce new trade-offs: acoustic noise\, view-dependent imaging\, and lack of large datasets for machine learning methods.\n \nThis dissertation addresses challenges associated with autonomous survey\, reacquisition\, and inspection missions for underwater robots. Autonomous survey encompasses the deployment of robots to capture imagery of a large search area. Reacquisition refers to the maneuvers to capture varying views of any found objects. Finally\, close-up inspection of objects involves capturing optical and acoustic imagery of objects for downstream tasks. These tasks are crucial to search and rescue\, oceanography\, defense\, and infrastructure inspection applications. Traditionally\, search for submerged objects of interest has been carried out with ship-mounted sonar and human divers. However\, this manual process is time consuming\, dangerous\, and does not scale to large search areas. The use of Autonomous Underwater Vehicles (AUVs) promises to speed up the process of underwater survey and inspection. However\, the data these vehicles collect often requires manual analysis by humans\, which can take weeks and does not enable in-situ autonomous decision making. Although machine learning methods can speed up decision making and data processing\, there are several challenges for deploying machine learning methods in the field. After an item has been found\, marine robotic systems can be deployed for a close-up inspection to enable detailed surveys of targets of interest.\n \nThis work contributes several novel methods that aim to enable autonomous search and survey for marine robotic systems. The first contribution of this work is a method that addresses the lack of training datasets for learning-based object identification in sonar imagery collected from robotic search missions. Specifically\, this work presents a method for shipwreck segmentation that is trained entirely in simulation and performs zero-shot shipwreck segmentation with no additional fine-tuning on real data. The second contribution is a diverse\, open-source dataset and benchmark for shipwreck segmentation in sonar imagery. This contribution establishes an open-source benchmark and enables future research in machine learning for ocean exploration. After an object is found\, operators may perform lower-altitude\, specialized survey patterns for imaging the object of interest. The third contribution is an adaptive surveying algorithm that plans more efficient re-inspections of detected targets using side scan sonar. This algorithm is a novel active perception method for side scan sonar that both chooses the next best view to maximize classifier performance and aggregates and classifies multiple views from an adaptive survey. Finally\, we develop a novel Gaussian splatting framework for close-range inspections using imaging sonar that demonstrates realistic novel view synthesis and models acoustic streaking phenomena. This method can enable synthetic data generation of realistic imaging sonar data for training deep learning models and additionally enables denoising of captured sonar data\, allowing for increased interpretability. The methods presented throughout this thesis are evaluated on real-world datasets collected from field work experiments using marine robotics platforms. This dissertation represents progress toward fully autonomous underwater systems that can operate with minimal human oversight in order to greatly accelerate search and survey missions for critical underwater applications.\n\nZoom link: https://umich.zoom.us/j/97161696814
UID:134653-21874665@events.umich.edu
URL:https://events.umich.edu/event/134653
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Michigan Robotics,Robotics
LOCATION:Ford Robotics Building - 2300
CONTACT:
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