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DTSTART;TZID=America/New_York:20221101T153000
DTEND;TZID=America/New_York:20221101T163000
DTSTAMP:20260405T180735
CREATED:20220928T124405Z
LAST-MODIFIED:20220928T124405Z
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SUMMARY:CIS Seminar: " Rich Babies\, Poor Robots: towards rich sensing\, continuous data and multiple environments"
DESCRIPTION:In recent years\, we have seen a shift in different fields of AI such as computer vision\, robotics. From task-driven supervised learning\, we are now starting to see shift towards more human like learning. Self-supervised learning\, embodied AI\, multimodal learning are few subfields which have emerged from this shift. Yet I will argue the shift is half-hearted in nature and there is a huge situational gap between babies (human learners) and current robots. Our babies learn continuously from multiple environment using five different senses using both active and passive data.  On the other hand\, our AI algorithms still primarily use vision (best case)\, learn from fixed datasets or pre-defined environments and use either passive or active data. In this talk\, I will argue how to bridge this gap. First\, I will talk about how to bring tactile sensing into mainstream. More specifically\, I will introduce our magnetic sensing skin called ReSkin. Next I will talk how our current setups lack the lifelong learning aspect. More specifically\, I will introduce our recent efforts in developing continuous versions of self-supervision and curiosity/exploration. Finally\, if time remains I will talk about how to use passive and active data together to learn actions.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-rich-babies-poor-robots-towards-rich-sensing-continuous-data-and-multiple-environments/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221102T120000
DTEND;TZID=America/New_York:20221102T133000
DTSTAMP:20260405T180735
CREATED:20220909T133247Z
LAST-MODIFIED:20220909T133247Z
UID:10007264-1667390400-1667395800@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: Building certifiably safe and correct large-scale autonomy\, Chuchu Fan (Massachusetts Institute of Technology)
DESCRIPTION:ABSTRACT: \nThe introduction of machine learning (ML) and artificial intelligence (AI) creates unprecedented opportunities for achieving full autonomy. However\, learning-based methods in building autonomous systems can be extremely brittle in practice and are not designed to be verifiable. In this talk\, I will present several of our recent efforts that combine ML with formal methods and control theory to enable the design of provably dependable and safe autonomous systems. I will introduce our techniques to generate safety certificates and certified control for complex autonomous systems\, even when the systems have a large number of agents and follow nonlinear and nonholonomic dynamics.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-chuchu-fan-massachusetts-institute-of-technology/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221102T153000
DTEND;TZID=America/New_York:20221102T163000
DTSTAMP:20260405T180735
CREATED:20220909T195757Z
LAST-MODIFIED:20220909T195757Z
UID:10007276-1667403000-1667406600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar Series: "It Takes Two: Conserved Bimodal Interactions between the Coronavirus Fusion Peptide and Calcium Ions Promote Host Membrane Insertion and Viral Entry" (Susan Daniel\, Cornell University)
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-it-takes-two-conserved-bimodal-interactions-between-the-coronavirus-fusion-peptide-and-calcium-ions-promote-host-membrane-insertion-and-viral-entry-susan-daniel-cornell-univ/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221103T103000
DTEND;TZID=America/New_York:20221103T113000
DTSTAMP:20260405T180735
CREATED:20221021T181508Z
LAST-MODIFIED:20221021T181508Z
UID:10007340-1667471400-1667475000@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: “Emerging Energy Materials: Joule Heating and Wood”
DESCRIPTION:I lead an Energy Materials and Devices research group at the University of Maryland\, College Park\, with a major mission to address the CO2 challenge. Our current research interests include (1) ultrahigh-temperature synthesis of new materials and their use in advanced energy devices\, (2) beyond Li-ion batteries for transportation and the grid\, and (3) wood nanoscience and nanotechnologies. \nIn this seminar I will share my group’s research and development of electrified ultrahigh-temperature synthesis as a novel platform for discovering and manufacturing new energy and environmental materials. I will start with the design and fabrication of ultrahigh temperature heaters\, followed by two specific research topics\, including high entropy nanoparticles (Science 2018\, 359\, 1489\, Cover) and a high-performance battery membrane (Science 2020\, 358\, 521\, Cover). Then I will give an overview of wood nanoscience and nanotechnologies and a few specific examples including solid state ion conductors (Nature 2021) and radiation cooling (Science 2019\, 364\, 760)
URL:https://seasevents.nmsdev7.com/event/mse-seminar-emerging-energy-materials-joule-heating-and-wood/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221103T153000
DTEND;TZID=America/New_York:20221103T163000
DTSTAMP:20260405T180735
CREATED:20220812T144510Z
LAST-MODIFIED:20220812T144510Z
UID:10007225-1667489400-1667493000@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Precision Engineering for Cancer Immunotherapy" (James Moon\, University of Michigan)
DESCRIPTION:This is a hybrid seminar which will be held in Glandt Forum (Singh Center) and via Zoom (link coming soon). \nPrecision Engineering for Cancer Immunotherapy \nCancer immunotherapy is now considered the fourth pillar of cancer therapy\, joining the ranks of surgery\, radiotherapy\, and chemotherapy. However\, only a small subset of cancer patients responds to cancer immunotherapy. Thus\, new approaches are needed to amplify anti-tumor immunity\, to convert cold tumor into hot tumor\, and to potentiate immunotherapies with minimal immune-related adverse events. The gut microbiome has recently emerged as the next frontier in drug development; however\, it remains unclear how to effectively alter gut microbiota for treating various diseases\, including cancer. Here\, we present new biomaterial-based strategies for altering the gut microbiome and improving the safety and efficacy of cancer immunotherapy. We are developing new dietary fiber-based biomaterials for in situ modulation of the gut microbiome for augmenting local and systemic immune responses. We will present the therapeutic potential of our gut modulation approach in the context of improving the efficacy of immune checkpoint blockers while mitigating immune-related adverse events. In our second research thrust\, we are developing a new nanoparticle platform for systemic delivery of STING (stimulator of IFN genes) agonists. While local STING activation can convert cold tumor into hot tumor\, it has been challenging to develop STING agonists that can treat disseminated cancer due to their toxicity. Here\, we will present our next-generation STING agonists that allow for systemic cancer therapy with potent efficacy\, favorable pharmaceutical properties\, and acceptable safety profiles in various murine and rabbit tumor models. Our biomaterial-based strategies may offer powerful and convenient approaches to regulate the immune system as potential therapies for cancer and other diseases.
URL:https://seasevents.nmsdev7.com/event/be-seminar-precision-engineering-for-cancer-immunotherapy-james-moon-university-of-michigan/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221103T170000
DTEND;TZID=America/New_York:20221103T190000
DTSTAMP:20260405T180735
CREATED:20221024T194217Z
LAST-MODIFIED:20221024T194217Z
UID:10007342-1667494800-1667502000@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP Industry Talk - Zoox Company Info Session: The Future of Transportation & Autonomous Vehicles
DESCRIPTION:Overview:  \nCome network with Zoox employees as we discuss Zoox’s mission\, the challenges we’re encountering in the industry\, and the internship opportunities available in 2023. \nAbout us:\nZoox is developing the first ground-up\, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics\, machine learning\, and design\, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. \nWhat you’ll get out of this event: \n– Learn more about Zoox and our unique approach to launching an autonomous vehicle robo-taxi service\n– Insight into the challenges and trends within the autonomous vehicle industry\n– Networking opportunity with Zoox employees
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-industry-talk-zoox-company-info-session-the-future-of-transportation-autonomous-vehicles/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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:20221104T100000
DTEND;TZID=America/New_York:20221104T120000
DTSTAMP:20260405T180735
CREATED:20221027T152101Z
LAST-MODIFIED:20221027T152101Z
UID:10007345-1667556000-1667563200@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense: Keshav Patil
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-keshav-patil/
LOCATION:Room 534 A Wing\, 3401 Walnut\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221104T103000
DTEND;TZID=America/New_York:20221104T114500
DTSTAMP:20260405T180735
CREATED:20221025T202538Z
LAST-MODIFIED:20221025T202538Z
UID:10007343-1667557800-1667562300@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP on Robotics: Wenzhen Yuan\, Carnegie Mellon University\, "Making sense of the physical world with high-resolution tactile sensing"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \n  \nABSTRACT\nIn this talk\, I will introduce the development of a high-resolution robotic tactile sensor GelSight\, and how it can help robots understand and interact with the physical world. GelSight is a vision-based tactile sensor that measures the geometry of the contact surface with a spatial resolution of around 25 micrometers\, and it also measures the shear forces and torques at the contact surface. With the help of high-resolution information\, a robot could easily detect the precise shape and texture of the object surfaces and therefore recognize them. But it can help robots get more information from contact\, such as understanding different physical properties of the objects and assisting with manipulation tasks. The talk will cover our work on using GelSight to detect slip during grasping and perceiving object properties such as hardness and viscosity of the liquid. I will also present our work in simulating the tactile sensor and using the simulated sensor input to boost the robot’s capability to perform perception and grasping tasks in reality. These simulation tools can also help us to rethink the sensor design challenge and how tactile sensors can be used for various types of robots.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-on-robotics-wenzhen-yuan-carnegie-mellon-university-making-sense-of-the-physical-world-with-high-resolution-tactile-sensing/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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:20221104T140000
DTEND;TZID=America/New_York:20221104T150000
DTSTAMP:20260405T180735
CREATED:20220919T144211Z
LAST-MODIFIED:20220919T144211Z
UID:10007296-1667570400-1667574000@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Group-Theoretic Approach for Nonlinear Problems in Mechanics with High Symmetry Avoids Use of Imperfections"
DESCRIPTION:Many interesting problems in nonlinear mechanics\, from classical to more recent\, pertain to applications with high initial symmetry: from the buckling of thin walled structures to the morphing in architected materials – the list is long! A common feature of these problems\, in addition to their importance for engineering applications\, is their great theoretical interest due to the complex bifurcation mechanisms leading to their failure. Unlike the classical Euler column buckling with the widely separated bifurcation points where the post-bifurcation equilibrium paths can be easily found using imperfections in the shape of the different eigenmodes\, using imperfections in these highly symmetric structures with complex bifurcation diagrams is confusing and can often lead to erroneous results. \nThe method proposed here is based on the perfect structure and uses the properties of its initial symmetry group to identify and follow the bifurcated equilibrium paths: primary\, secondary\, tertiary and so on\, and for the case of elastic systems\, to study their stability. Three different applications will be presented here: the development of folds and creases in an axially compressed elastic half-space\, the pattern formation in biaxially compressed circular honeycomb and the thermo-mechanical martensitic transformations in NiTi crystals. Time-permitting some additional applications in dissipative systems (step bunching and meandering instabilities homoepitaxial crystal growth) might be presented.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-group-theoretic-approach-for-nonlinear-problems-in-mechanics-with-high-symmetry-avoids-use-of-imperfections/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221107T130000
DTEND;TZID=America/New_York:20221107T140000
DTSTAMP:20260405T180735
CREATED:20220901T141104Z
LAST-MODIFIED:20220901T141104Z
UID:10007244-1667826000-1667829600@seasevents.nmsdev7.com
SUMMARY:PSOC Seminar: “Bioengineered human brain microvascular network to model brain tumor and mechanobiology of glioma invasion" (Guohao Dai\, Northeastern University)
DESCRIPTION:Fall 2022 Hybrid-Seminar Series  \nMondays 1.00-2.00 pm (EST)  \nTowne 225 / Raisler Lounge   \nFor Zoom link\, please contact <manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-seminar-bioengineered-human-brain-microvascular-network-to-model-brain-tumor-and-mechanobiology-of-glioma-invasion-guohao-dai-northeastern-university/
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:20221107T153000
DTEND;TZID=America/New_York:20221107T163000
DTSTAMP:20260405T180735
CREATED:20221027T124316Z
LAST-MODIFIED:20221027T124316Z
UID:10007344-1667835000-1667838600@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium - "On the Principles of Parsimony and Self-Consistency: Structured Compressive Closed-Loop Transcription"
DESCRIPTION:Ten years into the revival of deep networks and artificial intelligence\, we propose a theoretical framework that sheds light on understanding deep networks within a bigger picture of intelligence in general. We introduce two fundamental principles\, Parsimony and Self-consistency\, that address two fundamental questions regarding Intelligence: what to learn and how to learn\, respectively. We argue that these two principles can be realized in entirely measurable and computable ways for an important family of structures and models\, known as a linear discriminative representation (LDR). The two principles naturally lead to an effective and efficient computational framework\, known as a compressive closed-loop transcription\, that unifies and explains the evolution of modern deep networks and modern practices of artificial intelligence. Within this framework\, we will see how fundamental ideas in information theory\, control theory\, game theory\, sparse coding\, and optimization are closely integrated in such a closed-loop system\, all as necessary ingredients to learn autonomously and correctly. We demonstrate the power of this framework for learning discriminative\, generative\, and autoencoding models for large-scale real-world visual data\, with entirely white-box deep networks\, under all settings (supervised\, incremental\, and unsupervised). We believe that these two principles are the cornerstones for the emergence of intelligence\, artificial or natural\, and the compressive closed-loop transcription is a universal learning engine that serves as the basic learning units for all autonomous intelligent systems\, including the brain. \nRelated papers can be found at: https://arxiv.org/abs/2207.04630 and https://www.mdpi.com/1099-4300/24/4/456/htm
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-on-the-principles-of-parsimony-and-self-consistency-structured-compressive-closed-loop-transcription/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221108T100000
DTEND;TZID=America/New_York:20221108T113000
DTSTAMP:20260405T180735
CREATED:20221019T133310Z
LAST-MODIFIED:20221019T133310Z
UID:10007337-1667901600-1667907000@seasevents.nmsdev7.com
SUMMARY:Tedori-Callinan Lecture: "Mixing of Granular Materials\, Inertial Suspensions\, and Cement"
DESCRIPTION:Flows of particulate materials are ubiquitous in nature and industry. Predictions of flow rates and mixing times rely on an understanding of the rheological properties of the materials\, which can differ considerably from that associated with a single-phase fluid. This presentation highlights some unique features of granular materials and inertial suspensions and includes recent experimental results. In addition\, the seminar overviews new work related to the mixing and gaseous diffusion in cement. Cement production releases significant amount of carbon dioxide; carbon dioxide can be partially reabsorbed into cement by diffusion through the multiphase material. The ongoing research includes modeling of the carbon dioxide uptake and considers ways to accelerate the process\, such as mixing with the cement paste.
URL:https://seasevents.nmsdev7.com/event/tedori-callinan-lecture-mixing-of-granular-materials-inertial-suspensions-and-cement/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Distinguished Lecture
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221109T103000
DTEND;TZID=America/New_York:20221109T123000
DTSTAMP:20260405T180735
CREATED:20221107T133347Z
LAST-MODIFIED:20221107T133347Z
UID:10007353-1667989800-1667997000@seasevents.nmsdev7.com
SUMMARY:ESE Ph.D. Thesis Defense: "Design of Low-power CMOS Integrated Systems: from Biomedical Applications to Optical Links"
DESCRIPTION:Electronic and photonic microsystems realized in the form of integrated circuits (IC) has been revolutionizing numerous fields that traditionally exploit bulky implementations. The advantages stemming from device miniaturization have opened up wide and growing opportunities to design for unprecedented functionality and enhanced performance. Leveraging novel CMOS and silicon photonic IC designs\, this thesis presents four energy-efficient systems focusing on sensing and communication techniques: first\, a somatosensory feedback system\, composed of wireless body channel transceivers and implantable sensor nodes\, is proposed to restore a sense of touch to a paralyzed hand; second\, an analog SoC is implemented for neural signal recording and processing\, achieving accurate and unsupervised classification of action potentials; third\, a monolithically integrated\, power and area efficient PAM4 optical receiver is developed for a wavelength-division multiplexing (WDM) system achieving 1 Tb/s aggregate data-rate; finally\, an electronic-photonic lab-on-chip with optical power and data transmission is proposed to utilize the long-reach and low-cost fiber interconnects.
URL:https://seasevents.nmsdev7.com/event/ese-ph-d-thesis-defense-design-of-low-power-cmos-integrated-systems-from-biomedical-applications-to-optical-links/
LOCATION:Levine 512
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221109T120000
DTEND;TZID=America/New_York:20221109T133000
DTSTAMP:20260405T180735
CREATED:20220909T133355Z
LAST-MODIFIED:20220909T133355Z
UID:10007265-1667995200-1668000600@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: Decision-Aware Learning for Global Health Supply Chains\, Osbert Bastani (University of Pennsylvania)
DESCRIPTION:ABSTRACT: \nMachine learning algorithms are increasingly used in conjunction with optimization to guide decision making. A key challenge is aligning the machine learning loss with the decision-making loss. Existing solutions have limited flexibility and/or scale poorly to large datasets. We propose a principled decision-aware learning algorithm that uses a Taylor expansion of the optimal decision loss to derive the machine learning loss. Importantly\, our approach only requires a simple re-weighting of the training data\, allowing it to easily and scalably be incorporated into complex modern data science pipelines while producing sizable efficiency gains. We apply our framework to optimize the distribution of essential medicines in Sierra Leone in collaboration with their National Medical Supplies Agency. Out-of-sample results demonstrate that our end-to-end approach significantly reduces unmet demand across 1000+ health facilities throughout Sierra Leone.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-osbert-bastani-university-of-pennsylvania/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221109T150000
DTEND;TZID=America/New_York:20221109T160000
DTSTAMP:20260405T180735
CREATED:20221004T192423Z
LAST-MODIFIED:20221004T192423Z
UID:10007317-1668006000-1668009600@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP SFI: Roberto Calandra\, Meta AI\, "Perceiving\, Understanding\, and Interacting through Touch"
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. \nABSTRACT\nTouch is a crucial sensor modality in both humans and robots. Recent advances in tactile sensing hardware have resulted — for the first time — in the availability of mass-produced\, high-resolution\, inexpensive\, and reliable tactile sensors. In this talk\, I will argue for the importance of creating a new computational field of “Touch processing” dedicated to the processing and understanding of touch\, similarly to what computer vision is for vision. This new field will present significant challenges both in terms of research and engineering. To start addressing some of these challenges\, I will introduce our open-source ecosystem dedicated to touch sensing research. Finally\, I will present some applications of touch in robotics and discuss other future applications.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-roberto-calandra/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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:20221109T153000
DTEND;TZID=America/New_York:20221109T163000
DTSTAMP:20260405T180735
CREATED:20220909T195904Z
LAST-MODIFIED:20220909T195904Z
UID:10007277-1668007800-1668011400@seasevents.nmsdev7.com
SUMMARY:CBE Seminar Series: "Targeted Delivery of Macromolecular Therapeutics" (Christopher A. Alabi\, Cornell University)
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-targeted-delivery-of-macromolecular-therapeutics-christopher-a-alabi-cornell-university/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221110T103000
DTEND;TZID=America/New_York:20221110T113000
DTSTAMP:20260405T180735
CREATED:20221028T133859Z
LAST-MODIFIED:20221028T133859Z
UID:10007346-1668076200-1668079800@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: “Understanding Degradation in Metal Halide Perovskite Solar Cells and Modules”
DESCRIPTION:Halide perovskite solar cells (PSCs) have been the focus of much research in recent years due to their extremely high photoconversion efficiencies and their ability to be synthesized by solution processing.  These materials crystallize in the perovskite\, AMX3 crystal structure where A is a monovalent cation (e.g. methyl ammonium\, MA\, formamidinium\, FA\, and/or Cs)\, M is the metal cation and X is the halide anion. While great strides have been made to optimize the device performance of PSCs\, there remain open questions as to the long-term field performance of these materials. While constant improvement in lab scale performance stability is being demonstrated a fundamental understanding of degradation mechanisms can still provide key insight into performance improvements. In addition\, to fundamental lab scale studies field performance will be required to de-risk this technology for commercialization. In this talk\, I will cover examples of both lab scale and field studies to improve our understanding of PSCs degradation mechanisms. First\, I will discuss an application of X-ray scattering methods to probe the nanoscale heterogeneity of PSC absorber layers and couple these results to device level stability studies to understand the role heterogeneity plays in device performance. Finally\, I will present a brief overview of an initial field demonstration of PSC modules as part of the Perovskite PV Accelerator for Commercializing Technologies\, PACT\, program. Together this work aims to improve our confidence in real world PSC module performance.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-understanding-degradation-in-metal-halide-perovskite-solar-cells-and-modules/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221110T123000
DTEND;TZID=America/New_York:20221110T133000
DTSTAMP:20260405T180735
CREATED:20221101T123809Z
LAST-MODIFIED:20221101T123809Z
UID:10007348-1668083400-1668087000@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium - "Phase Transitions\, Symmetry\, and Reed-Muller Codes on BMS Channels"
DESCRIPTION:This talk will begin by discussing phase transitions in high-dimensional statistical inference problems. Some effort will be made to distinguish between problems with random structure (e.g.\, random codes and sparse PCA) and problems with deterministic structure (e.g.\, highly symmetric codes such as Reed-Muller codes). For problems with deterministic structure\, we will observe that symmetry can sometimes play a key role in characterizing their phase transitions. In particular\, I will describe my recent work with Galen Reeves that proves Reed-Muller (RM) codes achieve capacity on binary memoryless symmetric (BMS) channels with respect to bit-error rate. This result resolves a long-standing open problem that connects information theory and error-correcting codes. Our approach generalizes some elements of an earlier proof for the binary erasure channel but also derives new tools to avoid previous steps that do not generalize. The new idea is to combine a nesting property of RM codes with new information inequalities relating the derivative of the conditional entropy (as a function of the channel parameter) with minimum mean-squared error estimation.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-phase-transitions-symmetry-and-reed-muller-codes-on-bms-channels/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221110T150000
DTEND;TZID=America/New_York:20221110T163000
DTSTAMP:20260405T180735
CREATED:20221107T153150Z
LAST-MODIFIED:20221107T153150Z
UID:10007354-1668092400-1668097800@seasevents.nmsdev7.com
SUMMARY:ESE Ph.D. Thesis Defense: "Resilient\, Information Theoretic\, Active Exploration for Multi-Robot Teams"
DESCRIPTION:Over the past decades we have seen robots move from constrained and heavily designed industrial environments out into the world. Along with this shift there is a need for smaller\, safer\, and less expensive robots which can complete tasks autonomously in teams\, sometimes covering large areas. Multi-robot teams can expand the capabilities of a single robot\, however working with teams presents its own set of challenges. Robots must be able to reach a shared understanding of their task as well as gracefully recover from single member failures\, often while having no centralized coordination. \nIn many task assignment and coordination applications\, it is assumed that the robots begin with a shared understanding of the environment\, often in the form of a map. In small application spaces\, such maps could be made by hand\, but in the case of large or potentially hazardous environments\, it will be necessary to have the robots themselves create the map. To this end\, in this thesis we present two map representations designed specifically for autonomous mapping by robots with high-noise sensors. For each method\, we develop an information theoretic value function which can be used to autonomously maximize the information gained about the map. This is a principled approach which accounts for both information gained by exploring new areas\, as well as information gained by further inspection of the existing map to account for sensor uncertainty. \nAdditionally\, in applications where inexpensive robots are operating autonomously in large and potentially hazardous areas\, the likelihood increases that a robot on the team can become non-cooperative\, either through unintentional damage or through tampering. To be able to autonomously cooperate as a team it is important that the system can recover gracefully from such failures. Consensus algorithms are ubiquitous in distributed systems as they provide a mechanism for reaching agreement within a team using only local communications. We extend a highly distributed approach to resilient consensus for static networks to applications with multi-robot teams. This approach has been largely limited to small static networks because verification that the network is sufficiently connected is formally hard. First we develop a method which can be used for teams with time-varying range-based communication which is suitable for tasks where robots are not required to spread out in the environment. We then present a method that is well suited to mapping and coverage applications which uses a well known communication structure to guarantee successful resilient consensus. \nThe methods presented in this thesis lay the groundwork for a class of resilient active information gathering algorithms which can be used for low cost teams. Such algorithms have wide ranging applicability\, from persistent monitoring tasks such as those found in agriculture to time critical tasks such as search and rescue.
URL:https://seasevents.nmsdev7.com/event/ese-ph-d-thesis-defense-resilient-information-theoretic-active-exploration-for-multi-robot-teams/
LOCATION:Room 313\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221111T103000
DTEND;TZID=America/New_York:20221111T114500
DTSTAMP:20260405T180735
CREATED:20220830T160006Z
LAST-MODIFIED:20220830T160006Z
UID:10007239-1668162600-1668167100@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP on Robotics: Radhika Nagpal\, Princeton University\, "Towards Collective Artificial Intelligence"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \nABSTRACT\nIn nature\, groups of thousands of individuals cooperate to create complex structure purely through local interactions — from cells that form complex organisms\, to social insects like termites and ants that build nests and self-assemble bridges\, to the complex and mesmerizing motion of fish schools and bird flocks. What makes these systems so fascinating to scientists and engineers alike\, is that even though each individual has limited ability\, as a collective they achieve tremendous complexity. What would it take to create our own artificial collectives of the scale and complexity that nature achieves? In this talk I will discuss several ongoing projects that use inspiration from biological self-assembly to create robotic systems: The Kilobot swarm inspired by cells\, the Termes and EcitonR robots inspired by the 3D assembly of termites and army ants\, and the BlueSwarm project inspired by fish schools. There are many challenges for both building and programming robot swarms\, and we use these systems to explore decentralized algorithms\, embodied intelligence\, and methods for synthesizing complex global behavior. Our theme is the same: can we create simple robots that cooperate to achieve collective complexity?
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-radhika-nagpal/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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:20221111T130000
DTEND;TZID=America/New_York:20221111T150000
DTSTAMP:20260405T180735
CREATED:20221107T172611Z
LAST-MODIFIED:20221107T172611Z
UID:10007356-1668171600-1668178800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Multibreath Hyperpolarized Gas Imaging of Lung Ventilation and Gas Exchange in Humans for Diagnosis and Treatment Response Monitoring" (Hooman Hamedani)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Rahim Rizi are pleased to announce the Doctoral Dissertation Defense of Hooman Hamedani.\n\nTitle: Multibreath Hyperpolarized Gas Imaging of Lung Ventilation and Gas Exchange in Humans for Diagnosis and Treatment Response Monitoring\n\nDate: November 11th\, 2022\nTime: 1:00 PM-3:00 PM\n\nLocation: Donner – Grice Auditorium\, 2 Dulles\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-multibreath-hyperpolarized-gas-imaging-of-lung-ventilation-and-gas-exchange-in-humans-for-diagnosis-and-treatment-response-monitoring-hooman-hamedani/
LOCATION:Donner-Grice Auditorium
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:20221114T100000
DTEND;TZID=America/New_York:20221114T120000
DTSTAMP:20260405T180735
CREATED:20221107T175439Z
LAST-MODIFIED:20221107T175439Z
UID:10007355-1668420000-1668427200@seasevents.nmsdev7.com
SUMMARY:ESE Ph.D. Thesis Defense: "Analysis and Control of Neural Network Dynamical Systems"
DESCRIPTION:Integrating machine learning and control systems has achieved remarkable success in controlling complex dynamical systems such as autonomous vehicles. However\, the resulting controlled system often has a neural network (NN) in the loop which represents the system dynamics\, control policy\, or perception. The nonlinearity and large scale of NNs make it challenging to provide formal safety or stability guarantees for such learning-enabled systems. This thesis focuses on developing specialized numerical tools for efficiently analyzing NN dynamical systems and a novel robust model predictive control (MPC) framework that is promising for controlling NN dynamical systems with safety guarantees. In the first part of the thesis\, I demonstrate how to build a hierarchy of verification methods for isolated output range analysis of NNs\, closed-loop reachability analysis\, and closed-loop stability analysis of NN dynamical systems. In the second part\, I present a novel robust MPC method for uncertain linear dynamical systems with significantly reduced conservatism compared with existing baselines and discuss the possibility of combining NN verification tools and robust MPC for safe control of complex dynamical systems.
URL:https://seasevents.nmsdev7.com/event/ese-ph-d-thesis-defense-analysis-and-control-of-neural-network-dynamical-systems/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221114T150000
DTEND;TZID=America/New_York:20221114T160000
DTSTAMP:20260405T180735
CREATED:20220930T205411Z
LAST-MODIFIED:20220930T205411Z
UID:10007314-1668438000-1668441600@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Enabling Ultra-Low Viscosity Lubricants Through Fundamental Understanding of ZDDPs Anti-Wear Additives and their Tribofilm Growth Mechanisms: An In-Situ Study"
DESCRIPTION:Lubricants with low viscosity have the potential to improve fuel efficiency in engines due to friction reduction. However\, a reduction in viscosity increases the likelihood of wear. Zinc dialkyldithiophosphate (ZDDP)\, the most widely used antiwear additive in engine oils\, has been extensively studied over the last few decades. ZDDP forms surface-bound tribofilms at sliding contacts that prevent surface wear. Recent studies reveal that mechanochemical reactions drive tribofilm growth via stress and temperature. However\, the individual effects of shear stress\, compressive stress\, and temperature on tribofilm growth are not yet fully understood. \nIn this study\, we investigate the kinetic of ZDDP tribofilm formation on both microscale and nanoscale. In the microscale\, we studied the driving factors separately by using different compositions of a high-viscosity\, high-traction fluid mixed with a polyalphaolefin (PAO) basestock with a ball-on-disc tribometer in the elastohydrodynamic lubrication regime. In addition\, we presented a new approach\, the strip analysis method\, to deconvolute the mechanisms under one single contact more effectively and efficiently. In the nanoscale\, we used an atomic force microscope (AFM) to simulate a single asperity contact sliding on an iron oxide surface with droplets containing alkylated naphthalene (AN)\, PAO\, and ZDDP. This enables us to investigate the mechanochemistry of ZDDP tribofilm formation in the boundary lubrication regime with a well-controlled contact.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-enabling-ultra-low-viscosity-lubricants-through-fundamental-understanding-of-zddps-anti-wear-additives-and-their-tribofilm-growth-mechanisms-an-in-situ-study/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Dissertation or Thesis Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221115T100000
DTEND;TZID=America/New_York:20221115T113000
DTSTAMP:20260405T180735
CREATED:20221018T132327Z
LAST-MODIFIED:20221018T132327Z
UID:10007335-1668506400-1668511800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Cell Packings and Tissue Flows in Developing Embryos"
DESCRIPTION:During embryonic development\, groups of cells reorganize into functional tissues with complex form and structure. Tissue reorganization can be rapid and dramatic\, often occurring through striking embryo-scale flows that are mediated by the coordinated actions of hundreds or thousands of cells. In Drosophila\, cell rearrangements in the embryonic epithelium rapidly narrow and elongate the tissue\, producing a tissue flow that doubles the length of the body axis in just 30 minutes. These types of tissue movements can be driven by internal forces generated by the cells themselves or by external forces. While much is known about the molecules involved in these cell and tissue movements\, it is not yet clear how these molecules work together to coordinate cell behaviors\, give rise to emergent tissue mechanics\, and generate coherent flows at the embryo scale. To gain mechanistic insight into this problem\, my lab combines genetic and biophysical approaches with emerging optogenetic technologies for manipulating molecular and mechanical activities inside cells with high precision. I will discuss some of our recent findings on how cellular properties and mechanical forces are regulated in the Drosophila embryo to allow (or prevent) rapid cell rearrangements and tissue flows during specific events in embryonic development.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-cell-packings-and-tissue-flows-in-developing-embryos/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221115T103000
DTEND;TZID=America/New_York:20221115T113000
DTSTAMP:20260405T180735
CREATED:20221104T165639Z
LAST-MODIFIED:20221104T165639Z
UID:10007352-1668508200-1668511800@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium - "Using Information Geometry to Find Simple Models of Complex Processes"
DESCRIPTION:Effective theories play a fundamental role in how we reason about the world. Although real physical processes are very complicated\, useful models abstract away the irrelevant degrees of freedom to give parsimonious representations. In contrast\, overly complex models can be difficult to evaluate\, suffer from numerical instabilities\, and may overfit data. They also obscure useful insights into the relationship among different physical systems. I use information geometry to explore the role of simplicity in scientific explanation. I interpret a multi-parameter model as a manifold embedded in the space of all possible data\, with a metric induced by statistical distance. These manifolds are often bounded and very thin\, so they are well-approximated by a low-dimensional\, simple model. For many types of models\, there is a hierarchy of natural approximations that reside on the manifold’s boundary. These approximations are not black-boxes. They remain expressed in terms of the relevant combinations of mechanistic parameters and reflect the physical principles on which the complicated model was built. They can also be constructed systematically using computational differential geometry\, as I illustrate with examples from physics and systems biology
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-using-information-geometry-to-find-simple-models-of-complex-processes/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221115T120000
DTEND;TZID=America/New_York:20221115T133000
DTSTAMP:20260405T180735
CREATED:20221111T214536Z
LAST-MODIFIED:20221111T214536Z
UID:10007359-1668513600-1668519000@seasevents.nmsdev7.com
SUMMARY:ESE Ph.D. Thesis Defense - "Learning and Control of Network Phenomena"
DESCRIPTION:The intersection of dynamical systems and networks are used to model a huge variety of phenomena such as the spread of disease\, multi-agent systems\, opinions in social networks\, and more. Many properties of these network phenomena can be understood by examining the eigenvalue spectrum of a matrix representation of the underlying graph. Using this intuition\, this thesis explores the learning and control of network phenomena. First\, I present techniques for matching individuals across correlated networks and learning the spectra of a graph matrix using only the sparse output measurements of a networked dynamical system with periodic inputs. Next\, I present a data-driven framework for multi-task learning and non-linear control of epidemics. Finally\, I propose a new architecture for signal processing on higher-order graphs\, along with a new transferability bound on the performance of graph neural networks via spectral similarity. This transferability result is valid for arbitrary graphs regardless of their structure\, resulting in the first bound on the transferability of a machine learning approach for higher-order graphs.
URL:https://seasevents.nmsdev7.com/event/ese-ph-d-thesis-defense-learning-and-control-of-network-phenomena/
LOCATION:Room 401B\, 3401 Walnut\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221115T153000
DTEND;TZID=America/New_York:20221115T163000
DTSTAMP:20260405T180735
CREATED:20221101T190036Z
LAST-MODIFIED:20221101T190036Z
UID:10007349-1668526200-1668529800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Generative multitask learning mitigates target-causing confounding"
DESCRIPTION:We propose a simple and scalable approach to causal representation learning for multitask learning. Our approach requires minimal modification to existing ML systems\, and improves robustness to prior probability shift. The improvement comes from mitigating unobserved confounders that cause the targets\, but not the input. We refer to them as target-causing confounders. These confounders induce spurious dependencies between the input and targets. This poses a problem for the conventional approach to multitask learning\, due to its assumption that the targets are conditionally independent given the input. Our proposed approach takes into account the dependency between the targets in order to alleviate target-causing confounding. All that is required in addition to usual practice is to estimate the joint distribution of the targets to switch from discriminative to generative classification\, and to predict all targets jointly. Our results on the Attributes of People and Taskonomy datasets reflect the conceptual improvement in robustness to prior probability shift.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-generative-multitask-learning-mitigates-target-causing-confounding/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221116T100000
DTEND;TZID=America/New_York:20221116T110000
DTSTAMP:20260405T180735
CREATED:20221103T143130Z
LAST-MODIFIED:20221103T143130Z
UID:10007350-1668592800-1668596400@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP SFI: Yasuo Kuniyoshi\, University of Tokyo\, "Behavior and Cognition Emerge and Develop From Embodiment - A Constructive Study of Human Fetus/Infant"
DESCRIPTION:This is a hybrid event with in-person attendance in Raisler Lounge (Towne 225) and virtual attendance via Zoom. This talk will NOT be recorded\, please make sure to arrive on time. \nABSTRACT\nIn this talk\, I will first show that physics of human-like body in action already provide certain information structure which can set the natural basis of categorization and meaning. \nThen\, I will show a principle of autonomous exploration that reveals the embodied information structure\, aka. body affordances. Coordinated motor patterns consistent with the embodiment emerge from multiple chaotic elements coupled through body-environment physics. \nIn humans\, the above principle may drive early motor development. And the resulting sensory-motor information can be captured by self-organizing neural circuits\, forming the basis of cognitive structures. \nIn order to investigate this hypothetical scenario\, we constructed a simulation model of a human fetus. It consists of a musculo-skeletal body\, whole body cutaneous receptors (tactile)\, uterus and amniotic fluid\, neuronal model of spine and medulla\, and a whole neocortex model with self-organizing neural network. \nWith very little “innate” functional neural circuits\, the model acquired various behavior patterns that comply with its embodiment\, and the neural model self organizes to capture the embodied information structure. It exhibits spontaneous motor development and sensory-motor map organization comparable to human data. Also\, by changing the model parameters\, we can simulate “atypical” development. \nOur series of experiments shows that sensory-motor experiences in the fetal period can be crucial to the formation of body representations and multi-modal sensory integration\, which are significantly affected under “preterm birth” conditions\, providing new insights about the developmental origins of social cognition and autism spectrum disorders.\nImplications for the next generation AI/robotics will also be discussed if time allows.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-yasuo-kuniyoshi-university-of-tokyo-behavior-and-cognition-emerge-and-develop-from-embodiment-a-constructive-study-of-human-fetus-infant/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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:20221116T120000
DTEND;TZID=America/New_York:20221116T133000
DTSTAMP:20260405T180735
CREATED:20220909T155422Z
LAST-MODIFIED:20220909T155422Z
UID:10007267-1668600000-1668605400@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: Building Safe Autonomous Systems\, Rahul Mangharam (University of Pennsylvania)
DESCRIPTION:ABSTRACT: \nBalancing performance and safety are crucial to deploying autonomous vehicles in multi-agent environments. In particular\, autonomous racing is a domain that penalizes safe but conservative policies\, highlighting the need for robust\, adaptive strategies. Current approaches either make simplifying assumptions about other agents or lack robust mechanisms for online adaptation. In this talk we will explore research themes on perception\, planning and control at the limits of performance. We explore (1) How to generate the most competitive agents who dynamically balance safety and assertiveness by using distributionally robust online adaptation; (2) How to build the most efficient autonomous racecar with Multi-domain optimization across vehicle design\, planning and control; (3) How to combine previous system designs to auto-complete new designs with new requirements\, and (4) Understand the value of Cooperation in Multi-Agent Games. We realize all our research in the https://f1tenth.org autonomous racecar platform that is 10th the size\, but 10x the fun! The main takeaway from this talk is how you can get involved in very exciting research on safe autonomous systems.  I will also present projects on AV Gokart that we are doing in the Autoware Center of Excellence for Autonomous Driving at Pennovation.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-building-safe-autonomous-systems-rahul-mangharam-university-of-pennsylvania/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221117T103000
DTEND;TZID=America/New_York:20221117T233000
DTSTAMP:20260405T180735
CREATED:20221028T134231Z
LAST-MODIFIED:20221028T134231Z
UID:10007347-1668681000-1668727800@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: “Advanced Microscopy Techniques for Understanding Dislocation Interactions & Damage in Complex Microstructures”
DESCRIPTION:Microstructurally and compositionally complex alloys (MCCA) such as Nickel-Aluminum-Bronze (NAB) are important to Navy and maritime applications due to their high strength\, toughness\, and fatigue resistance\, as well as excellent corrosion resistance. NAB’s are widely used in many naval applications including ship propellers\, underwater fasteners\, pumps\, and valves. Traditional sand cast NAB alloys tend to have a large amount of waste material\, and reduced complexity in component geometry due to the limitations of the casting processing.  As a result\, NAB alloys are emerging as a viable alloy for additive manufacturing (AM) and therefore provides a new space to establish fundamental relationships between AM processing\, structure and properties. Of the additive processes\, wire arc additive manufacturing (WAAM) is an evolving technology for fabricating large-scale\, near net shape NAB components. It is understood that the high cooling rates achieved in WAAM prevent the precipitation of coarse rosette-like kI phase which usually form during the latter stages of solidification during the casting process. In this work\, the dislocation interactions with interfaces such as grain boundaries and precipitates will be used to understand fatigue life and crack initiation and growth behavior in these alloys during low-cycle and high-cycle fatigue.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-advanced-microscopy-techniques-for-understanding-dislocation-interactions-damage-in-complex-microstructures/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
END:VCALENDAR