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Spring 2022 GRASP SFI: Johannes Betz, University of Pennsylvania, “Autonomous Handling at the Limits – Winning the Indy Autonomous Challenge”

Levine 512

*This will be a HYBRID Event with in-person attendance in Levine 512 and Virtual attendance via Zoom The rising popularity of self-driving cars has led to the creation of an additional research and development branch in the recent years: Autonomous racing. Researchers are developing algorithms and hardware for high performance race vehicles which aim to operate […]

CBE Seminar: “BEYOND SURFACE” Facilitates Electrocatalytic Reactions of Renewable Carbons

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

Abstract There has been growing interest to drive chemical reactions via the direct use of renewable electricity to address sustainability challenges. The success of the approach rests on the use of the right materials to efficiently catalyze electrochemical reactions. Thus, there have been intense efforts to engineer catalyst materials whose surface contains the desired active […]

MEAM Seminar: “Robot-assisted Imaging of Neuromuscular Function: New Insights on the Neural Substrates of Motor Control”

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

Can we use robots to help humans learn a new motor skill, or to improve performance of a motor task? What are the neural substrates that support motor learning under physical interaction with external agents such as robots? How does repeated exposure to motor training induce plasticity in brain networks? These are fundamental neuroscience questions […]

ESE Spring Colloquium – “Certifiable Outlier-Robust Geometric Perception: Robots that See through the Clutter with Confidence”

Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Geometric perception is the task of estimating geometric models (e.g., object pose and 3D structure) from sensor measurements and priors (e.g., point clouds and neural network detections). Geometric perception is a fundamental building block for robotics applications ranging from intelligent transportation to space autonomy. The ubiquitous existence of outliers —measurements that tell no or little […]

BE Seminar: “End-to-End Precision Medicine: Personalized Sensing, Targeted Diagnostics, and Therapeutic Discovery” (Ava Soleimany)

Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

This seminar will be held live and broadcast on zoom – check email for zoom link or contact ksas@seas.upenn.edu. Precision medicine envisions a world where diagnostic and therapeutic opportunities are intelligently tailored to individual patient needs. Achieving this vision necessitates access to high quality, accurate, and individualized information about disease state. Engineered probes that sense […]

GRASP on Robotics: Volkan Isler, University of Minnesota, “From Surveying Farms to Tidying our Homes with Robots”

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

For decades, the robotics community has been working on developing intelligent autonomous machines that can perform complex tasks in unstructured environments. We are now closer than ever to delivering on this promise. Robotic systems are being developed, tested and deployed for a wide range of applications. In this talk, I will present our work on […]

MEAM Seminar: “Understanding Particulate Soft Materials: An Integrated Approach for Novel Energy and Environmental Solutions”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

Many industrial processes involve multiphase soft materials in which solid particles are dispersed or co-exists with a fluid phase and are therefore referred to as Particulate Soft Materials (PSMs). Examples can be found in many industries, including food, cosmetics, pharmaceutical, and energy, as well as in natural settings, e.g., soils and glaciers. PSMs often display […]

ESE Spring Colloquium – “Towards Fair and Efficient Machine Learning with Large Models”

Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Deep networks often achieve better accuracy as we employ larger models. However, modern machine learning applications involve multiple considerations alongside accuracy, such as resource-efficiency, robustness, or fairness. Deploying ML in the real-world requires sound solutions addressing these considerations. In this talk, I will first discuss optimizing fairness objectives for imbalanced data. We observe that a […]