A5001934097- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- Block Copolymer Self-Assembly
- Advanced Data Storage Technologies
- Soft Robotics and Applications
- Advanced Welding Techniques Analysis
- Advanced Electron Microscopy Techniques and Applications
- Advanced Fluorescence Microscopy Techniques
- Welding Techniques and Residual Stresses
- Robotics and Sensor-Based Localization
- Optical measurement and interference techniques
- Robot Manipulation and Learning
- Tactile and Sensory Interactions
- Distributed and Parallel Computing Systems
- Retinal Imaging and Analysis
- Machine Learning in Materials Science
- Cell Image Analysis Techniques
- Teleoperation and Haptic Systems
- Electron and X-Ray Spectroscopy Techniques
- Digital Holography and Microscopy
- Parallel Computing and Optimization Techniques
- Advanced Polymer Synthesis and Characterization
- Advanced Surface Polishing Techniques
- Atmospheric aerosols and clouds
- Solar Radiation and Photovoltaics
Argonne National Laboratory
2015-2024
Northwestern University
2021-2023
Evanston Hospital
2023
Pacific Northwest National Laboratory
2023
Lawrence Livermore National Laboratory
2023
University of Chicago
2016-2022
University of Illinois Chicago
2022
Bellingham Technical College
2018
University of Stuttgart
2018
University of Wisconsin–Madison
2004-2013
Cambridge, MA A vision system for use in a mobile robot system, or n fixed multi-tasking industrial requires attentive control. Attentive control refers to the process by which direction of gaze visual sensors are determined, nlong with determination what processing is required be applied sensed images based on goals and tasks it performing. This paper describes implementation a. mnt,ion allows binocular system. inputs specify type feedback that oculo-motor will use. The MDL language...
Cloud cover estimation from images taken by sky-facing cameras can be an important input for analyzing current weather conditions and estimating photovoltaic power generation. The constant change in position, shape, density of clouds, however, makes the development a robust computational method cloud challenging. Accurately determining edge clouds hence separation between clear sky is difficult often impossible. Toward output, we propose using machine learning methods segmentation. We...
A robot designed for prostate brachytherapy implantations has the potential to greatly improve treatment success. Much of research in robotic surgery focuses on measuring accuracy. However, there exist many factors that must be optimized before an analysis needle placement accuracy can determined. Some these parameters include choice type, insertion velocity, usefulness rotating and rotation speed. These may affect force at which interacts with tissue. reduction been shown decrease...
In recent years, flexible robotic catheter systems have been developed for minimally invasive cardiac surgery. These commonly include a passive catheter, which is biocompatible, and an active servo system provides the actuation catheter. To relate control motion of to motion, models continuous catheters developed. A typical approach assume kinematic model in maintains constant curvature along its length when articulated. However, this cannot explain nonlinear behavior effect internal...
Continuum manipulators are gaining widespread acceptance in commercial robotics, particularly the medical field, where their compliance allows a large benefit for patient safety. However, this also makes precise position control of these quite difficult. This paper presents two closed-loop implementations applied to small scale continuum manipulator. These both based on manipulator tip feedback from an electromagnetic sensor. The command tracking and disturbance rejection properties shown be...
Robotic catheters are gaining widespread use in the medical community for cardiac, neurological and other surgical interventions. However, many of used these procedures exhibit non-linear behavior, thus present difficulties implementing effective open-loop control. Systems such as this have been shown to benefit from closed-loop control, however very little investigation has done into 3D closed loop control class manipulators. Initial investigations by authors greatly improved positioning...
In this paper, we study the problem of determining a mathematical description surface defined by shape membrane based on an image it and present algorithm for reconstructing when is deformed unknown external elements. The given data are projection plane markings membrane, undeformed configuration model mechanics. method re construction principle that assumed will minimize elastic energy stored in subject to constraints implied measurements. Energy minimization leads set nonlinear partial...
Acquisition, analysis, and classification of repetitive human motion for the assessment postural stress is central importance to ergonomics practitioners. We present a two-threshold, multidimensional segmentation algorithm automatically decompose complex into sequence simple linear dynamic models. No priori assumptions were made about number models that comprise full or duration task cycle. A compact representation obtained each segment using parameters damped harmonic model. Event was...
Many advanced sensors are capable of producing extremely large and continuous data streams. Hyperspectral imagers, microphones, high-resolution cameras, 3D scanning devices can easily generate gigabytes per day, making it impractical for many wireless sensor platforms to stream all collected the cloud analysis. Furthermore, in some deployments, privacy concerns may restrict resolution or content leaving being routinely stored cloud. To address this situation, must reduce transform situ,...
A key trend facing extreme-scale computational science is the widening gap between and I/O rates, challenge that follows how to best gain insight from simulation data when it increasingly impractical save persistent storage for subsequent visual exploration analysis. One approach this centered around idea of in situ processing, where visualization analysis processing performed while still resident memory. This paper examines several design performance issues related at extreme scale on...
Traffic statistics desired by road engineers and planners, "traffic warning" systems demand real-time performance which precludes the use of batch processing. We apply recent trading techniques along with scene specific tuning dynamics to enable tracker accurately predict target location thus reduce amount search and/or image processing required. The benefits learning for accurate prediction are speed-our operates at frame rate-and smoothing vibration. Initial calibration projective...
This work demonstrates how a high throughput robotic machine vision systems can quantify seedling development with spatial and temporal resolution.The that the system provides is enough to match needs of functional genomics research. Analyzing images plant seedlings growing responding stimuli proven approach finding effects an affected gene. However, 104 genes in typical genome, comprehensive studies will require methodologies. To increase without sacrificing or resolution, 3 axis gantry...
Use of robotic friction stir welding (FSW) has gained in popularity as systems can accommodate more complex part geometries while providing high applied tool forces required for proper weld formation. However, even the largest FSW suffer from compliance compared to most custom engineered machines or modified computer numerical control (CNC) mills. The increased significantly alter process dynamics such that traditional parameters, including plunge depth, is difficult. To address this,...
Characterization of the three-dimensional (3D) structure in directed self-assembly (DSA) block copolymers is crucial for understanding complex relationships between guiding template and resulting polymer so DSA could be successfully implemented advanced lithography applications. Here, we combined scanning transmission electron microscopy (STEM) tomography coarse-grain simulations to probe 3D P2VP-b-PS-b-P2VP assembled on prepatterned templates using solvent vapor annealing. The consisted...
Multielectron transfer processes are crucially important in energy and biological science but require favorable catalysts to achieve fast kinetics. Nanostructuring can dramatically improve their properties, which be difficult understand due strain- size-dependent thermodynamics, the influence of defects, substrate-dependent activities. Here, we report three-dimensional (3D) imaging single gold nanoparticles during catalysis ascorbic acid decomposition using Bragg coherent diffractive (BCDI)....
A key trend facing extreme-scale computational science is the widening gap between and I/O rates, challenge that follows how to best gain insight from simulation data when it increasingly impractical save persistent storage for subsequent visual exploration analysis. One approach this centered around idea of in situ processing, where visualization analysis processing performed while still resident memory. This paper examines several design performance issues related at extreme scale on...
The Chicago Array of Things (AoT) project, funded by the US National Science Foundation, created an experimental, urban-scale measurement capability to support diverse scientific studies. Initially conceived as a traditional sensor network, collaborations with many science communities guided project design system that is remotely programmable implement Artificial Intelligence (AI) within devices-at "edge" network-as means for measuring urban factors heretofore had only been possible human...
Currently, the viability of infrared (IR) as an accurate means measuring distance depends on extensive prior knowledge surface. More specifically, manner in which a surface scatters, reflects, and absorbs energy is needed to interpret sensor output measure. In order use IR unknown environment, one must determine properties during robot operation. The paper details method determining surface, vis-a-vis reflectance, subsequently calculating relative orientation using previously acquired...