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DTSTART;TZID=America/New_York:20220404T090000
DTEND;TZID=America/New_York:20220404T100000
DTSTAMP:20260406T031531
CREATED:20220401T172323Z
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SUMMARY:GRASP Seminar: Robert J. Wood\, Harvard University\, “Soft robotics for delicate and dexterous manipulation”
DESCRIPTION:This seminar will be held virtually via Zoom. \nRobotic grasping and manipulation has historically been dominated by rigid grippers\, force/form closure constraints\, and extensive grasp trajectory planning. The advent of soft robotics offers new avenues to diverge from this paradigm by using strategic compliance to passively conform to grasped objects in the absence of active control\, and with minimal chance of damage to the object or surrounding environment. However\, while the reduced emphasis on sensing\, planning\, and control complexity simplifies grasping and manipulation tasks\, precision and dexterity are often lost. This talk will discuss efforts to increase the robustness of soft grasping and the dexterity of soft robotic manipulators\, with particular emphasis on grasping and in-hand manipulation tasks that are challenging for more traditional robot hands. This includes compliant objects\, thin flexible sheets\, and delicate organisms. Examples will be drawn from manipulation of everyday objects and field studies of deep sea sampling using soft end effectors.
URL:https://seasevents.nmsdev7.com/event/grasp-seminar-robert-j-wood-harvard-university-soft-robotics-for-delicate-and-dexterous-manipulation/
LOCATION:https://upenn.zoom.us/j/96715197752
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:20220404T120000
DTEND;TZID=America/New_York:20220404T130000
DTSTAMP:20260406T031531
CREATED:20220131T131617Z
LAST-MODIFIED:20220131T131617Z
UID:10007048-1649073600-1649077200@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn: “A Biomechanical Approach that Differentially Regulates Thrombosis and Hemostasis from the Atomic Level" (Yunfeng Chen\, 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-a-biomechanical-approach-that-differentially-regulates-thrombosis-and-hemostasis-from-the-atomic-level-yunfeng-chen-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:20220405T100000
DTEND;TZID=America/New_York:20220405T113000
DTSTAMP:20260406T031531
CREATED:20220303T175603Z
LAST-MODIFIED:20220303T175603Z
UID:10007111-1649152800-1649158200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "From Mollusk Shells to Dense Architectured Materials to Granular Crystals: How Building Blocks and Weak Interfaces Create High Mechanical Performance"
DESCRIPTION:Regular building blocks of controlled shape and size can be assembled to create fully dense “architectured” materials and structures. When the building blocks are very stiff and when they interact through much softer materials or even only by frictional contact\, the blocks can slide\, rotate\, separate or interlock collectively\, providing a wealth of tunable mechanisms\, precise structural properties and functionalities. In this talk I will illustrate this design strategy with three examples: First\, I will show how the brick-and-mortar architecture of nacre from mollusk shell exploits near-perfect structural periodicity and geometric hardening to promote large deformations and toughness\, which are key features we recently translated into tough\, impact resistant bioinspired glasses. In the next example geometric hardening is pushed to the extreme to create geometrical interlocking. Tetrahedral or octahedral blocks are assembled into “topologically interlocked” panels\, which can turn brittle ceramics into ductile\, tough and damage tolerant 2D panels purely from the interplay of block geometry\, interlocking and frictional sliding. Finally\, my third example will show how this design principle can be extended to three-dimensional granular crystals. Here we assembled millimeter-scale 3D printed grains of specific geometries into fully dense crystals\, which we found are 10 times stronger than traditional granular materials. These granular crystals display a rich set of mechanisms: Nonlinear deformations\, crystal plasticity reminiscent of atomistic mechanisms\, shear-induced dilatancy\, micro-buckling. Once fully understood and harnessed\, we envision that these mechanisms will lead to engineering materials with unusual and attractive combinations of mechanical performances.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-from-mollusk-shells-to-dense-architectured-materials-to-granular-crystals-how-building-blocks-and-weak-interfaces-create-high-mechanical-performance/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220405T110000
DTEND;TZID=America/New_York:20220405T120000
DTSTAMP:20260406T031531
CREATED:20220328T145904Z
LAST-MODIFIED:20220328T145904Z
UID:10007133-1649156400-1649160000@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Emergent Active Photonic Platforms for Next-Generation Mid-Infrared and Ultrafast Photonics"
DESCRIPTION:As two basic properties of light\, wavelength and timescale are central to numerous photonic applications. Compared to visible and near-infrared\, the longer wavelength mid-infrared spectral regime contains unique thermal visual information and chemical fingerprints of the environment.  On a different front\, femtosecond light sources and systems can enable ultrafast information processing\, sensing\, and computing. Yet\, current chip-scale photonic devices and systems are facing tremendous challenges in detecting\, generating\, and processing light of long wavelength and ultrashort timescale. Overcoming these challenges requires new materials and clever device architectures\, and these technologies stand poised to revolutionize fields such as biomedical sensing\, free-space communication\, and photonic computing in both classical and quantum domains. \nIn this talk\, I will show that by engineering the carrier and nonlinear dynamics in emergent active photonic materials\, we can detect photons beyond the regimes accessible to conventional laser sources and detectors\, and process information in an ultrafast manner. In the first half of my talk\, I will first briefly introduce the discovery of black phosphorus (BP) mid-infrared photonics\, highlighting the world’s first BP mid-infrared detectors with high internal gain\, as well as BP’s electrically tunable spectral response due to its unique bandgap tunability. Then\, I will discuss a new strategy for detecting longer wavelength mid-infrared radiations at 12 µm. This is achieved by harnessing the intrinsic mid-infrared plasmons in large-scale graphene. \nThe second half of my talk will cover my recent work on integrated lithium niobate (LN) ultrafast photonics in both classical and quantum domains. I will discuss the realization of ultra-strong nonlinear optical interactions and dynamics in dispersion-engineered and quasi-phase-matched integrated LN devices\, which have enabled 100 dB/cm optical parametric amplification\, ultra-wide bandwidth quantum squeezing\, as well as femtosecond and femtojoule all-optical switching. Finally\, I will outline promising pathways toward realizing chip-scale ultrafast light sources and microsystems for on-chip spectroscopic sensing\, mid-infrared free-space communication\, coherent all-optical computing\, and next-generation thermal vision technologies.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-emergent-active-photonic-platforms-for-next-generation-mid-infrared-and-ultrafast-photonics/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220406T130000
DTEND;TZID=America/New_York:20220406T140000
DTSTAMP:20260406T031531
CREATED:20220329T211913Z
LAST-MODIFIED:20220329T211913Z
UID:10007138-1649250000-1649253600@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Deep Learning and Uncertainty Quantification: Methodologies and Applications"
DESCRIPTION:Uncertainty quantification is a recent emerging interdisciplinary area that leverages the power of statistical methods\, machine learning models\, numerical methods and data-driven approach to provide reliable inference for quantities of interest in natural science and engineering problems. In practice\, the sources of uncertainty come from different aspects such as: aleatoric uncertainty where the uncertainty comes from the observations or is due to the stochastic nature of the problem; epistemic uncertainty where the uncertainty comes from inaccurate mathematical models\, computational methods or model parametrization. Cope with the above different types of uncertainty\, a successful and scalable model for uncertainty quantification requires prior knowledge in the problem\, careful design of mathematical models\, cautious selection of computational tools\, etc. The fast growth in deep learning\, probabilistic methods and the large volume of data available across different research areas enable researchers to take advantage of these recent advances to propose novel methodologies to solve scientific problems where uncertainty quantification plays important roles. The objective of this dissertation is to address the existing gaps and propose new methodologies for uncertainty quantification with deep learning methods and demonstrate their power in engineering applications. \nOn the methodology side\, we first present a generative adversarial framework to model aleatoric uncertainty in stochastic systems. Secondly\, we leverage the proposed generative model with recent advances in physics-informed deep learning to learn the uncertainty propagation in solutions of partial differential equations. Thirdly\, we introduce a simple and effective approach for posterior uncertainty quantification for learning nonlinear operators. Fourthly\, we consider inverse problems of physical systems on identifying unknown forms and parameters in dynamical systems via observed noisy data. \nOn the application side\, we first propose an importance sampling approach for sequential decision making. Second\, we propose a physics-informed neural network method to quantify the epistemic uncertainty in cardiac activation mapping modeling and conduct active learning. Third\, we present an anto-encoder based framework for data augmentation and generation for data that is expensive to obtain such as single-cell RNA sequencing.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-deep-learning-and-uncertainty-quantification-methodologies-and-applications/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220406T150000
DTEND;TZID=America/New_York:20220406T160000
DTSTAMP:20260406T031531
CREATED:20220401T170128Z
LAST-MODIFIED:20220401T170128Z
UID:10007146-1649257200-1649260800@seasevents.nmsdev7.com
SUMMARY:Spring 2022 GRASP SFI: Jason Ma\, University of Pennsylvania\, “Beyond Expected Reward in Offline Reinforcement Learning”
DESCRIPTION:*This will be a HYBRID Event with in-person attendance in Levine 512 and Virtual attendance via Zoom \nOffline reinforcement learning (RL)\, which uses pre-collected\, reusable offline data without further environment interactions\, permits sample-efficient\, scalable and practical decision-making; however\, most of the existing literature (1) focuses on improving algorithms for maximizing the expected cumulative reward\, and (2) assumes the reward function to be given. This limits the applicability of offline RL in many realistic settings — for instance\, there are often safety or risk constraints that need to be satisfied\, and the reward function is often difficult to specify. In this talk\, we will explore how we can (1) train a broad class of risk-sensitive agents using purely risk-neutral offline data and provably prevent out-of-distribution extrapolations\, and (2) bootstrap offline RL through flexible forms of expert demonstrations\, significantly expanding the scope of valid supervision for offline policy learning. With these advances\, we aim to bring offline RL closer to real-world applications.
URL:https://seasevents.nmsdev7.com/event/spring-2022-grasp-sfi-jason-ma-university-of-pennsylvania-beyond-expected-reward-in-offline-reinforcement-learning/
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:20220406T153000
DTEND;TZID=America/New_York:20220406T163000
DTSTAMP:20260406T031531
CREATED:20220115T004024Z
LAST-MODIFIED:20220115T004024Z
UID:10007018-1649259000-1649262600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Processive-Cleavage and Functionalization-Cleavage for Deconstruction of Polyolefins”
DESCRIPTION:Abstract \nThe massive quantities of single-use plastics discarded each year requires new sustainable end-of-life solutions. Current technologies\, such as melt-processing for recycling or incineration for partial energy recovery\, are insufficient to deal with the crisis in its entirety. New methods involving chemical upcycling\, by catalytic conversion of the used materials into higher value products\, could provide molecules that make use of components of the existing catenated carbon starting materials. In addition\, few existing catalytic methods can break carbon-carbon bonds in aliphatic hydrocarbons lacking directing groups and introduce new heteroatom functionality. In collaborative work\, we have constructed and studied the first example of a hydrogenolysis catalyst that makes use of its 3D architecture to transform polyolefins into narrow distributions of shorter linear hydrocarbon chains. A second approach considers approaches to break carbon-carbon bonds in polyolefins and concurrently introduce reactive sites that could enable the use of products as chemical synthons. Early transition metal complexes are capable of breaking carbon-carbon bonds via β-alkyl elimination to form shorter carbon chains in oligomerylmetal species. Transmetalation to a main group element could afford reactive species to access fatty alcohols and fatty acids by oxidation or carboxylation\, for example. We have developed examples of such transformations\, based on organozirconium single-site catalysts and hydride-generating organoaluminum reagents.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-processive-cleavage-and-functionalization-cleavage-for-deconstruction-of-polyolefins/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220407T103000
DTEND;TZID=America/New_York:20220407T113000
DTSTAMP:20260406T031531
CREATED:20220314T173006Z
LAST-MODIFIED:20220314T173006Z
UID:10007119-1649327400-1649331000@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Hierarchically Ordered Block Copolymer Materials via Nonequilibrium Processing"
DESCRIPTION:The diversity and vastness in the types of properties of living systems\, including enhanced mechanical properties of skin and bone\, or responsive optical properties derived from structural coloration\, are a result of the multiscale\, hierarchical structure of the materials. The field of materials chemistry has leveraged equilibrium concepts to create complex materials seen in nature\, yet achieving the remarkable properties present in living systems requires moving beyond this formalism by utilizing nonequilibrium processes to create new and exciting materials. Here\, the presentation will describe a new method to create hierarchically ordered\, physically crosslinked hydrogels\, and recent developments in further processing the hydrogel materials to create linear and rotary actuators. Specifically\, we have explored a modified nonsolvent-induced phase separation method termed rapid injection processing to produce hierarchically ordered hydrogels with structures and mechanical properties resembling those of living biomaterials. The hydrogel fabrication process entails injecting a triblock copolymer\, such as poly(styrene)-poly(ethylene oxide)-poly(styrene) (SOS)\, solution into a coagulating liquid (i.e.\, water)\, driving the hydrophobic polymer domains to organize at the nano and microscale and forming bulk hydrogels. We have established a universal and quantitative method for fabricating and controlling physically crosslinked hydrogels exhibiting hierarchical ordering by controlling the initial pre-injection triblock copolymer solution concentration and water-miscible organic solvent. Additionally\, water-swollen hydrogel materials are easily processed to create high-performance linear and rotary actuators via strain-programmed hydrogel crystallization. The crystallized fibers display enhanced mechanical properties due to the aligned alternating amorphous and crystalline domains\, and actuation is triggered using either water or heat. The work presented here highlights that by harnessing nonequilibrium methods\, it is possible to create materials with tunable physical properties via controlling the structure from the nanometer to the micrometer.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-hierarchically-ordered-block-copolymer-materials-via-nonequilibrium-processing/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220407T110000
DTEND;TZID=America/New_York:20220407T120000
DTSTAMP:20260406T031531
CREATED:20220329T164642Z
LAST-MODIFIED:20220329T164642Z
UID:10007136-1649329200-1649332800@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Minimally Invasive and Chronically Stable Brain-Machine Interface"
DESCRIPTION:Stable chronic mapping of brain activities at the action potential level with high temporal resolution is essential for both fundamental neuroscience research and biomedical applications\, including cognitive studies\, memory encoding and retrieval\, and neural prostheses. Conventional neural probes can provide high spatiotemporal-resolution brain signal recordings independent of probing depth\, although they generally trigger foreign body response and tissue damage in the brain. As a result\, they are usually unable to stably interface with the brain in a chronic manner\, which substantially hinders their applications in brain-machine interface and neuroscience researches. In this seminar\, I will present a new paradigm\, mesh-like electronics\, for minimally invasive and chronically stable brain-machine interface. The mesh-like electronics can seamlessly interface with mammal brains with significantly reduced foreign body response and can stably record brain signals with high spatiotemporal resolution for more than 8 months. I will then present the application of mesh-like electronics for chronic recording and modulations of spinal cord sensory and motor neurons in awake mice. In the end\, I will present an alternative approach to designing minimally invasive neural electronics with hydrogel-based materials and the rapid fabrication of designed neural electronics with additive manufacturing. Both the mesh-like electronics and hydrogel electronics opened up new windows to stably communicating with the nervous system with minimum perturbation and foreign body responses.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-minimally-invasive-and-chronically-stable-brain-machine-interface/
LOCATION:Zoom – Meeting ID 992 3585 3697
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220407T153000
DTEND;TZID=America/New_York:20220407T163000
DTSTAMP:20260406T031531
CREATED:20211210T164738Z
LAST-MODIFIED:20211210T164738Z
UID:10006995-1649345400-1649349000@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Analysis of High-content Genomic Screening Data with Large-scale Optical Pooled Screens" (Paul Blainey\, MIT)
DESCRIPTION:This seminar will be held in person in Towne 337 and on zoom (check email for link or contact ksas@seas.upenn.edu). \nGenetic screens are critical for the systematic identification of genes underlying cellular phenotypes. While pooling gene perturbations greatly increases screening throughput\, this approach was not yet compatible with the high-content imaging of complex and dynamic cellular phenotypes. Our group recently developed optical pooled screening using in situ sequencing-by-synthesis to link pooled perturbations with their associated visual phenotypic outcomes at the single-cell level in mammalian cells. We have since established this approach for very large-scale screens where hundreds of phenotypic parameters are recorded for each cell.  I will provide an overview of the applicability of this kind of approach and discuss in more detail two large-scale\, high-content collaborative screening projects\, one related to intracellular responses to viral infection\, and another focused on human cell division phenotypes.
URL:https://seasevents.nmsdev7.com/event/be-seminar-paul-blainey/
LOCATION:Room 337\, Towne Building\, 220 South 33rd 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:20220407T153000
DTEND;TZID=America/New_York:20220407T163000
DTSTAMP:20260406T031531
CREATED:20220329T212252Z
LAST-MODIFIED:20220329T212252Z
UID:10007139-1649345400-1649349000@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "User-friendly\, Low-cost\, Microfluidic Devices with Capillary Circuits for Multiplexed\, Isothermal\, Point-of-care Nucleic Acid Amplification Tests"
DESCRIPTION:Rapid\, sensitive\, and specific detection of causative pathogens is key to personalized medicine and the prompt implementation of appropriate mitigation measures to reduce disease transmission\, mortality\, morbidity\, and cost. Conventional molecular detection methods require trained personnel\, sophisticated equipment\, and specialized laboratories\, which limits their use to centralized laboratories. To enable molecular diagnostics at the point of need and in resource-poor settings\, inexpensive\, simple devices that combine multiple unit operations and are capable of co-detecting endemic pathogens are needed. \nIn this dissertation\, I have developed microfluidic devices with capillary circuits to automate liquid distribution\, eliminating the need for expensive equipment\, sophisticated laboratory facilities\, and skilled personnel to enable molecular diagnostics at the point of need. Capillary valves with different sizes were developed and implemented to aliquot samples and reagents to multiple reaction chambers and to enable draining liquids from supply lines without affecting liquids in the various reaction chambers\, enabling bubble-free operation. The sealing of my microfluidic devices to prevent evaporation during incubation is facilitated with phase-change materials and capillary-induced motion. When my microfluidic chip is heated to its incubation temperature\, the phase change material melts and flows to seal ports of entry and air vent. Numerical simulations were carried out to assess the viability of on-chip\, in-house developed\, two-stage isothermal nucleic acid amplification in the presence of diffusion and advection. An Android-based smartphone application was developed to automate real-time signal monitoring\, time series image analysis\, and diagnostic result interpretation. Three different 3D-printed\, portable\, microfluidic devices with capillary circuits were designed\, fabricated\, and tested for single-stage and two-stage\, isothermal nucleic acid amplification with either liquid reagents or ii pre-stored dry reagents that do not require a cold chain. All devices have proved successful for rapid\, sensitive\, and specific multiplexed detections of human and animal pathogens.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-user-friendly-low-cost-microfluidic-devices-with-capillary-circuits-for-multiplexed-isothermal-point-of-care-nucleic-acid-amplification-tests/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220408T103000
DTEND;TZID=America/New_York:20220408T114500
DTSTAMP:20260406T031531
CREATED:20220113T180556Z
LAST-MODIFIED:20220113T180556Z
UID:10007012-1649413800-1649418300@seasevents.nmsdev7.com
SUMMARY:GRASP on Robotics: Jing Xiao\, Worcester Polytechnic Institute\, “Perception-Action Synergy in Uncertain Environments”
DESCRIPTION:Many robotic applications require a robot to operate in an environment with unknowns or uncertainty\, at least initially\, before it gathers enough information about the environment. In such a case\, a robot must rely on sensing and perception to feel its way around. Moreover\, it has to couple sensing/perception and motion synergistically in real time\, such that perception guides motion\, while motion enables better perception. In this talk\, I will introduce our research in combining perception and motion of a robot to achieve autonomous contact-rich assembly\, object recognition\, object modeling\, and constrained manipulation in uncertain or unknown environments\, under force/torque\, RGBD\, or touch sensing. I will also introduce our recent work on integrated semantic SLAM and accurate loop closure detection\, SmSLAM+LCD.
URL:https://seasevents.nmsdev7.com/event/grasp-on-robotics-perception-action-synergy-in-uncertain-environments/
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:20220408T110000
DTEND;TZID=America/New_York:20220408T120000
DTSTAMP:20260406T031531
CREATED:20220404T123530Z
LAST-MODIFIED:20220404T123530Z
UID:10007148-1649415600-1649419200@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "End-to-end Learning for Robust Decision Making"
DESCRIPTION:Because the physical world is complex\, ambiguous\, and unpredictable\, autonomous agents must be engineered to exhibit a human-level degree of flexibility and generality — far beyond what we are capable of explicitly programming. Achieving such rich and intricate decision making requires rethinking the foundations of intelligence across all stages of the autonomous learning lifecycle. \nIn this talk\, I will share new learning-based approaches towards dynamic\, resilient\, and robust decision making of autonomous systems. Such solutions are capable of not only reliably solving a particular problem\, but also anticipating what could go wrong in order to strategize\, adapt\, and continuously learn. We advance robust decision making by (1) computationally designing rich synthetic environments of hard to collect\, out-of-distribution edge-cases; (2) creating efficient\, expressive\, and interpretable learning models; and (3) developing adaptive\, robust\, and grounded learning algorithms\, and exploiting their interdependence to realize generalizable decision making.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-end-to-end-learning-for-robust-decision-making/
LOCATION:Heilmeier Hall (Room 100)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220408T140000
DTEND;TZID=America/New_York:20220408T150000
DTSTAMP:20260406T031531
CREATED:20220308T163523Z
LAST-MODIFIED:20220308T163523Z
UID:10007113-1649426400-1649430000@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium "The Dynamics of Gas-Particle Partitioning: Insights from Laboratory\, Field\, and Modeling studies"
DESCRIPTION:Abstract: Ultrafine aerosols can significantly influence Earth’s climate if they are able to grow to sizes large enough to interact with the incoming solar radiation and nucleate cloud droplets. In clear air\, aerosol growth occurs via gas-to-particle conversion of condensable trace gases\, including sulfuric acid\, nitric acid\, hydrochloric acid\, ammonia\, and myriad oxidation products of many different volatile organic compounds. Nearly all aerosol models developed to date to simulate the aerosol growth assume instantaneous equilibrium between semivolatile gases and submicron-sized particles. This assumption effectively favors the growth of the largest pre-existing particles in accordance with Raoult’s law. In this talk\, I will use a combination of laboratory\, field\, and modeling studies to show that the equilibrium assumption may not always hold\, especially when aerosol growth occurs from condensation of supersaturated vapors and/or when the pre-existing aerosols are in a solid or semisolid phase state. In such cases\, gas-particle partitioning must be treated as a dynamic process and size-resolved bulk diffusion limitation must be considered inside semisolid particles. I will outline a computationally efficient dynamic gas-particle partitioning treatment in the MOSAIC aerosol model to address this issue and discuss implications on the growth of ultrafine aerosols from semivolatile vapors.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-the-dynamics-of-gas-particle-partitioning-insights-from-laboratory-field-and-modeling-studies/
LOCATION:Zoom – email kathom@seas.upenn.edu
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
END:VCALENDAR