Award Data

We will develop a series of object manipulation primitives to pick up and assemble standard mechanical parts such as screws, gears and pulleys that can be configured without any programming skills. Building up on a smart robotic gripper, 3D perception and machine learning algorithms, we will design a graphical user interface that allows an user to label arbitrary 3D objects, identify assembly poin ...

Emergent Healthcare Solutions proposes to research the feasibility of a dynamic cloud-based incident Intelligence System called Emergent Cloud. Emergent Cloud is an application service providing firefighters and Emergency Medical Technicians access to an interactive incident roadmap and real-time workflow and record keeping. The general aim of the proposed project is to revolutionize the user expe ...

We address a need of the neutron user community by creating a minimum viable prototype of the only high-throughput hydrostatic pressure small angle neutron scattering sample environment (HTHP-SANS-SE). Our HTHP-SANS-SE will greatly improve the ease of use and reliability of measurements under extreme environments, thereby increasing throughput on the beamline and expanding feasibility. Current HP- ...

Industrial facilities, manufacturing plants, and electric power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing methods developed in the 1960s, which are prone to error if complex flow patterns exist, which is common. Recently, NIST has been working on an improved technique of perfo ...

Industrial facilities and power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing method developed in the 1960s, which are prone to error due to biases from human operators and any non-axial flow in a stack.NIST has been working on an improved technique of performing 3D flow testing f ...

We propose the design of an optical instrument package capable of making cloud observations and deployable on a CubeSat. The design will be based on decades of research in cloud remote sensing and each spectral channel will be comprised of a commercial-off-the-shelf camera and a spectral filter as needed. The base design will be comprised of three channels, two in the shortwave infrared and one in ...

Enabling BLOS operations in the National Airspace System is largely an issue of improved sensing. Under the UTM rules, BLOS operations require performance authorization from the FAA centered around navigation, communications, sharing of intent, avoiding other aircraft, and connecting to the FAA in near real-time. The current plan initially is for these performance metrics to be evaluated by the FA ...

Coral transplantation is a primary management option for rehabilitation of degraded reefs. Stabilization (via adhesion, etc.) of transplants on existing reef or artificial substrates notably improves their survival rate. Improved underwater adhesives are needed for expedient and convenient stabilization of coral transplants with improved survival rate. A new hybrid organic-inorganic adhesive is pr ...

Machine learning and unsupervised classification have been applied to seafloor classification and benthic mapping using multibeam echosounders (MBES), Light Ranging and Detection (LiDAR), airborne hyperspectral, underwater optical cameras, and satellite imagery. Regardless of the sensor, data dimensionality reduction is an integral processing step of seabed mapping workflows . The most commonly im ...

This proposal addresses subtopic 9.6.01, Low-cost Oceanic and Atmospheric Sensors and Observing Systems. It is proposed that two instruments for measuring atmospheric aerosols be commercialized to operate automatically and routinely. Both instruments have been used in research settings for many years and share several aspects of technology. They could both be commercialized with significant advant ...