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DTSTART;TZID=America/New_York:20220425T110000
DTEND;TZID=America/New_York:20220425T130000
DTSTAMP:20260406T012533
CREATED:20220330T154943Z
LAST-MODIFIED:20220330T154943Z
UID:10007140-1650884400-1650891600@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Remote Field Guided Assembly of Complex Orthopaedic Tissues" (Hannah Zlotnick)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Robert Mauck are pleased to announce the Doctoral Dissertation Defense of Hannah Zlotnick.\n\nTitle: Remote field guided assembly of complex orthopaedic tissues\n\nDate: Monday April 25th \nTime: 11 am \n\nLocation: JMB Class of ’62 Auditorium\nJohn Morgan Building\n3620 Hamilton Walk\nPhiladelphia\, PA 19104\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-remote-field-guided-assembly-of-complex-orthopaedic-tissues-hannah-zlotnick/
LOCATION:Class of 62 Auditorium\, John Morgan Building\, 3620 Hamilton Walk\, Philadelphia\, PA\, 19104
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220425T120000
DTEND;TZID=America/New_York:20220425T130000
DTSTAMP:20260406T012533
CREATED:20220131T131955Z
LAST-MODIFIED:20220131T131955Z
UID:10007050-1650888000-1650891600@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn Seminar: " "Bottom-up synthetic embryology for understanding early human development" (Jianping Fu\, PhD)
DESCRIPTION:Physical Sciences in Oncology Center PSOC@Penn \nSpring 2022 Hybrid-Seminar Series \nTowne 225 / Raisler Lounge @ Noon (EST) \nFor Zoom link \, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psocpenn-seminar-jianping-fu-phd/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220425T140000
DTEND;TZID=America/New_York:20220425T160000
DTSTAMP:20260406T012533
CREATED:20220418T132312Z
LAST-MODIFIED:20220418T132312Z
UID:10007166-1650895200-1650902400@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Human tissue-engineered nigrostriatal pathway encased in hyaluronic acid for axon tract reconstruction in Parkinson’s disease" (Wisberty Gordián Vélez)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. D. Kacy Cullen are pleased to announce the Doctoral Dissertation Defense of Wisberty Gordián Vélez.\n\nTitle: Human tissue-engineered nigrostriatal pathway encased in hyaluronic acid for axon tract reconstruction in Parkinson’s disease\n\nDate: Monday\, April 25th\nTime: 2:00 pm\nLocation: JMB Reunion Auditorium\nJohn Morgan Building\n3620 Hamilton Walk\nPhiladelphia\, PA 19104\n\nThe public is invited to attend in person or virtually at the link below:\nZoom Link: https://upenn.zoom.us/j/3047758004?pwd=SGwwRXZkNGtQdW1NOEZwanFGMG0yQT09\n\nMeeting ID: 304 775 8004\nPasscode: TENSP22
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-human-tissue-engineered-nigrostriatal-pathway-encased-in-hyaluronic-acid-for-axon-tract-reconstruction-in-parkinsons-disease-wisberty-gordian-velez/
LOCATION:JMB Reunion Auditorium\, 3620 Hamilton Walk\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220426T100000
DTEND;TZID=America/New_York:20220426T233000
DTSTAMP:20260406T012533
CREATED:20220420T134702Z
LAST-MODIFIED:20220420T134702Z
UID:10007168-1650967200-1651015800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Towards Personalized Predictive Human Models"
DESCRIPTION:Numerical simulation of physical phenomena is a powerful tool embraced by scientists and engineers for decades. Using simulation tools to predict human movements is particularly critical for training AI-enabled robots interacting with humans\, providing testbeds for wearable device design\, and generating a wealth of labeled\, high-fidelity human motion data. However\, existing physics simulators and motor control algorithms for modeling human movements were developed with a fictitious “average human” in mind\, while in reality we are often more interested in predicting the motion of a particular real person. Pursuing the quest towards building personalized predictive human models\, we develop a learnable and differentiable physics simulator to harness the power of data\, and a data acquisition pipeline to provide large-scale biomechanical motion data for the learnable simulator to consume. These computational tools can potentially simulate a wide range of scenarios\, but also provide the option to be personalized to specific individuals using only a moderate amount of data. While we focus on the application domains related to human movements\, these tools are general and applicable to other robotic research problems on optimal control and parameter estimation. In this talk\, I will describe our overall vision on perusing personalized predictive human models\, as well as a collection of projects that advanced the state of the art toward this vision.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-towards-personalized-predictive-human-models/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220427T150000
DTEND;TZID=America/New_York:20220427T160000
DTSTAMP:20260406T012533
CREATED:20220425T141135Z
LAST-MODIFIED:20220425T141135Z
UID:10007170-1651071600-1651075200@seasevents.nmsdev7.com
SUMMARY:Spring 2022 GRASP SFI: Youngwoon Lee\, University of Southern California\, “Scaling Robot Learning with Skills: Towards Furniture Assembly and Beyond”
DESCRIPTION:Despite the recent progress in robot learning\, robotics research and benchmarks today are typically confined to simple short-horizon tasks. However\, tasks in our daily lives are much more complicated — consisting of multiple sub-tasks and requiring high dexterity skills — and the typical “learning from scratch” scheme is hardly scale to such complex long-horizon tasks. \nIn this talk\, I propose to extend the range of tasks that robots can learn by acquiring a useful skillset and efficiently harnessing these skills. As a first step\, I will introduce a novel benchmark for complex long-horizon manipulation tasks\, IKEA furniture assembly environment. Then\, I will present skill chaining approaches that enable sequential skill composition to perform long-horizon tasks. Finally\, I will talk about how to learn a long-horizon task efficiently using skills and skill priors extracted from diverse data.
URL:https://seasevents.nmsdev7.com/event/spring-2022-grasp-sfi-youngwoon-lee-university-of-southern-california-scaling-robot-learning-with-skills-towards-furniture-assembly-and-beyond/
LOCATION:Levine 512
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220429T073000
DTEND;TZID=America/New_York:20220429T083000
DTSTAMP:20260406T012533
CREATED:20220415T134834Z
LAST-MODIFIED:20220415T134834Z
UID:10007163-1651217400-1651221000@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Social Robot Augmented Telepresence for Remote Assessment and Rehabilitation of Patients with Upper Extremity Impairment"
DESCRIPTION:With the shortage of rehabilitation clinicians in rural areas and elsewhere\, remote rehabilitation (telerehab) fills an important gap in access to rehabilitation. We have developed a first of its kind social robot augmented telepresence (SRAT) system — Flo — which consists of a humanoid robot mounted onto a mobile telepresence base\, with the goal of improving the quality of telerehab. The humanoid has arms\, a torso\, and a face to play games with and guide patients under the supervision of a remote clinician. \nTo understand the usability of this system\, we conducted a survey of hundreds of rehab clinicians. We found that therapists in the United States believe Flo would improve communication\, patient motivation\, and patient compliance\, compared to traditional telepresence for rehab. Therapists highlighted the importance of high-quality video to enable telerehab with their patients and were positive about the usefulness of features which make up the Flo system for enabling telerehab. \nTo compare telepresence interactions with vs without the social robot\, we conducted controlled studies\, the first to rigorously compare SRAT to classical telepresence (CT). We found that for many SRAT is more enjoyable than and preferred over CT. The results varied by age\, motor function\, and cognitive function\, a novel result. \nTo understand how therapists and patients respond to and use SRAT in the wild over long-term use\, we deployed Flo at an elder care facility. Therapists used Flo with their own patients however they deemed best. They developed new ways to use the system and highlighted challenges they faced. \nTo ease the load of performing assessments via telepresence\, I constructed a pipeline to predict the motor function of patients using RGBD video of them doing activities via telepresence. The pipeline extracts poses from the video\, calculates kinematic features and reachable workspace\, and predicts level of impairment using a random forest of decision trees.\nFinally\, I have aggregated our findings over all these studies and provide a path forward to continue the evolution of SRAT.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-social-robot-augmented-telepresence-for-remote-assessment-and-rehabilitation-of-patients-with-upper-extremity-impairment/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Doctoral,Dissertation or Thesis Defense
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