Penn Engineering Events

Seminar

  1. Events
  2. Seminar

Events Search and Views Navigation

Event Views Navigation

Today

Fall 2022 GRASP Seminar: Ankit Shah, Brown University, “Training Robots Like Apprentices”

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

*This is a HYBRID Event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Domains such as high-mix manufacturing, domestic robotics, space exploration, etc., are key areas of interest for robotics. Yet, the difficulty of anticipating the role of robots in these domains is a crucial hurdle for the adoption of robots. […]

BE Seminar: “Cellular and Acellular Strategies for Heart and Lung Repair” (Ke Cheng, UNC/NCSU)

Glandt Forum, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PA, United States

This is a hybrid seminar: Check email for the zoom link and passcode. "Cellular and Acellular Strategies for Heart and Lung Repair" Therapeutic tissue regeneration using stem cells has been hampered by the controversial identity of resident stem cells, low cell retention/engraftment, tumorigenecity and immunogenicity issues. Taking a bioengineering/biomaterials approach, this lecture will introduce the uses of drug delivery and biomaterials […]

Fall 2022 GRASP on Robotics: Matthew Johnson-Roberson, Carnegie Mellon University, “Lessons from the Field: Deep Learning and Machine Perception for field robots”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom.   ABSTRACT Mobile robots now deliver vast amounts of sensor data from large unstructured environments. In attempting to process and interpret this data there are many unique challenges in bridging the gap between prerecorded data sets and the […]

MEAM Seminar: “Nonlinear Mechanical Behavior of Kirigami-inspired Architected Materials”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

As 3D printing and other advanced manufacturing techniques have become more common, it is increasingly possible to produce structures with nearly arbitrary internal geometric and compositional features, opening up vast new design space for engineers. In this work, we consider a kirigami-inspired, flexible architected material comprising rotating squares joined at their vertices. The rotational degrees […]

Grace Hopper Distinguished Lecture: “How Memory Guides Value-Based Decisions” (Daphna Shohamy, Columbia University)

Glandt Forum, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PA, United States

This distinguished lecture will be a hybrid event held in the Glandt Forum (Singh Center) and via Zoom. A light reception will follow the live lecture. Zoom link Passcode: 704696 "How Memory Guides Value-Based Decisions" From robots to humans, the ability to learn from experience turns a rigid response system into a flexible, adaptive one. […]

Fall 2022 GRASP on Robotics: David Fouhey, University of Michigan, “Understanding the Physical World from Images”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom.   ABSTRACT If I show you a photo of a place you have never been to, you can easily imagine what you could do in that picture. Your understanding goes from the surfaces you see to the ones […]

Fall 2022 GRASP Seminar: Nare Karapetyan, University of Maryland, “Area Coverage Path Planning: From Graphs to Field Deployments”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom.   ABSTRACT Area coverage path planning is the problem of finding an efficient path that traverses the region of interest while avoiding existing obstacles. When dealing with real systems, the dynamic changes and uncertainties of the environments increase the […]

ASSET Seminar: ML for Causal Inference, Konrad Kording, University of Pennsylvania

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

ABSTRACT Machine learning traditionally does not get at causality and causality research traditionally treats machine learning as a dangerous set of highly biased estimators. In my talk I will talk about our lab’s efforts to use machine learning as a component of more traditional quasi-experimental techniques. I will also discuss meta-learning approaches to causal inference, […]