Θ Massachusetts's UAS Sensing by yourDragonXi Δ 21th of May 2018 Ω 10:19 AM

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~ BLUEFIN Robotics ~ Protonex ~ MIT	~ Marice Science Center - Northeastern University ~ Harvard ~ OceanServer	~ The University of Massachusetts Amherst ~ Clark University ~ UAS Test Center
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«UAS Sensing in U.S.	Θ	Θ
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[001] ~ BLUEFIN Robotics

»BLUEFIN Robotics
ξ developing, building and operating Autonomous Underwater Vehicles (AUV)

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[002] ~ Protonex

Protonex
ξ portal offline!
ξ develops and manufactures high-performance, long-duration fuel cell power systems for portable and remote applications in the 10-500W power range
ξ U.S. Air Force Research Laboratory and AeroVironment documented a successful, record flight on a small, unmanned aerial vehicle (UAV)
ξ utilized a fuel cell system from Protonex
ξ AeroVironment�s �Puma� UAV system flew continuously for over seven hours
ξ the Protonex ProCore UAV system has a very low noise profile
ξ it provides up to five times the energy density of advanced military batteries
ξ addresses the rapidly growing segment of electric military and commercial UAVs designed for specialty missions
ξ such as surveillance, search and rescue, chemical-biological monitoring, and other long-endurance specialty missions
ξ the ProCore UAV system is a high performance, ultralight fuel cell system
ξ coupling fuel cell stack technology that can achieve 1,000 watts per kilogram with an advanced chemical hydride fueling solution

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[003] ~ MIT

MIT, Boston
ξ UAVs as Tactical Wingmen
ξ MIT LegLab

MIT is working on autonomous cars that don't need good maps
The area where the MIT team worked was Devon, Massachusetts, and they didn�t have detailed maps.
Consider the way a map app, like Google Maps, appears on your phone.
That kind of map, called a topographical map,
�gives just a line segment that shows which roads connect to which roads and roughly what their shape is,�
says Teddy Ort, a doctoral candidate at MIT who studies robotics and their perception systems and
is the lead researcher on the rural self-driving work.
�There�s a huge difference between that kind of map and the map that you would use for self-driving cars in the city.�
They used their research vehicle�s LiDAR sensor,
which is a common instrument on autonomous cars,
to detect the difference in texture between the asphalt and the grass on either side.
Their LiDAR unit consisted of 64 lasers spinning around at 10 times per second.
That instrument works because the laser light bounces off the world and
then tells the car what the surroundings look like.

The laser system is �looking at the texture of the surrounding areas,� Ort says.
The road is flat, and the stuff next to it�grass and shrubs and leaves�is not.

That�s how the car perceived where the road was in front of it,
but it still had to know how to drive to its destination
without a great 3D map in its silicon brain (although it did have GPS).
To do that, it picked a �local goal��a point in the road up ahead
that the car could see, and drove towards it.
But it didn�t just drive to that point and stop.
The vehicle constantly refreshed that goal as it approached it,
like paddling towards a point on the horizon on a big, flat lake.

�The local goal is actually constantly being updated to be as far ahead as the vehicle can see,� Ort says,
noting that they refresh it five times per second.
The faster you update that local goal, the quicker you can go,
so changing it five times per second means you could travel at 55 mph,
although the MIT team didn�t have quite that heavy a foot.

Ultimately, he sees the tech as one way to �bring the autonomous vehicles out of the city.�

That�s a philosophy that Christoph Mertz,
a principal project scientist at Carnegie Mellon University's Robotics Institute, agrees with.
Rural areas can be �neglected,� he says.
�If these autonomous vehicles don�t drive in rural areas,
then the elderly there might be stuck in their houses because nobody can drive them.�

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[004] ~ Marice Science Center - Northeastern University

Marice Science Center - Northeastern University

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[005] ~ Harvard

Harvard
ξ Nano technology
ξ Harvard Robotics Laboratory
ξ Robotic manipulation testbed for work in robotic manipulation, particularly aspects involving tactile sensing, motion description

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[006] ~ OceanServer

»OceanServer

Iver Family of Autonomous Underwater Vehicles
Ideal for coastal applications such as sensor development, general survey work,
Sub-surface security, research and environmental monitoring
Single man-portable
Simple point and click mission planning
State of the Art Open System
Reliable, Efficient, Simple to Operate
Launch and Operate from Shore, Single Person Operation
Affordable Systems,
Online Pricing Configuration Tool
14 Years in Development
Thousands of Missions Run, Over 250 AUVs Shipped
Mission Planning in Minutes
Field Rugged
Compact Design

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[007] ~ The University of Massachusetts Amherst

The University of Massachusetts Amherstξ robots

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[008] ~ Clark University

Clark University
ξ a systems engineering approach for successful UAV mission design and execution

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~ UAS Test Center

»UAS Test Center
ξ Griffiss International Airport in Rome is one of 6 locations selected as unmanned aircraft system test sites
ξ Bases in Syracuse, Plattsburgh and Fort Drum will also be involved in testing in Central New York
ξ Griffiss is a part of the Northeast UAS Airspace Integration Research Alliance,
ξ which will headquarter two FAA test sites.
ξ In addition to Rome, NUAIR will host a test site at Joint Base Cape Cod in Massachusetts.

ξ NUAIR is an alliance of more than 40 private and public entities and academic institutions
ξ from across New York and Massachusetts that have partnered to promote Griffiss as an ideal location to conduct testing and research.

ξ Officials say NUAIR could generate nearly $700 million in new York and Massachusetts, and more than 4,000 jobs.

ξ "Today's announcement, recognizing the NUAIR team as an official FAA test site,
ξ is a slam dunk for Central and Northern New York," said Sen. Chuck Schumer.
ξ "This unmanned air systems research and testing will usher in jobs while benefiting key industries,
ξ like agriculture and logistics. I have no doubt, that with this announcement,
ξ Central and Northern New York will become the Silicon Valley of unmanned systems advancements."
ξ "I am pleased that the FAA chose Oneida County to be a nationally recognized center of research,
ξ development and testing of unmanned aircraft systems," said Rep. Richard Hanna.
ξ "Helping build a new high-tech economy in the Mohawk Valley is essential to the future of our community.
ξ Promoting Griffiss as a hub for new jobs and innovation is a major part of this effort and
ξ this news is exciting for our region's future. Congratulations to NUAIR for its hard work."

ξ �I was proud to work hand in glove with Senator Schumer in making the case for NUAIR,"
ξ said Assemblyman Anthony Brindisi.
ξ "Now that an official unmanned designation from the FAA has landed right here in the Mohawk Valley,
ξ our regional economy is poised for takeoff.�

ξ Drones could be seen in the sky as soon as four months from right now.
ξ Each base will have to undergo an annual evaluation to make sure they are still up to date with their technologies.
ξ All drones involved have GPS systems to let those testing them know exactly where they are.

ξ One of the main reasons the Adirondack Mountains were chosen as a testing location
ξ was due to the limited commercial air traffic which is seen in the area.

REASON IT!

ξ Joint Base Cape Cod in Massachusetts has US Coast Guard
ξ New York is must as the test city!
ξ Boston and Massachusetts have the resources to develop!
ξ Griffiss International Airport in New York state is safer airport for test

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