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Thursday, May 24, 2018

Augmenting the Existing Fleet

Draper Equips Riptide UUVs with Advanced Underwater Mission Controls

CAMBRIDGE, MA—In the future, the U.S. military will rely increasingly on offboard systems, such as autonomous undersea vehicles, to augment existing, onboard platforms. Those offboard systems will need to be affordable, which implies a move toward open architecture, low cost designs.

To help the U.S. military more quickly move in this direction, Draper has reached an agreement with Riptide Autonomous Solutions to implement Maritime Open Architecture Autonomy (MOAA) on all Riptide unmanned undersea vehicles (UUVs) delivered to the U.S. government.

Draper developed MOAA for the U.S. government as an extensible open architecture framework for autonomous mission controllers for autonomous undersea vehicles (AUVs). MOAA capabilities have been demonstrated at sea on multiple AUV classes with capabilities applicable to various undersea mission areas.

Draper has requested and received approval from the Naval Undersea Warfare Center Division Newport (NUWC-NPT) to provide MOAA as an option on all Riptide UUVs sold to the U.S. Government or Government-purposed vehicles.

“Autonomous undersea vehicles are growing in importance for commercial and national security purposes. Along with this, open architecture systems such as MOAA meet the need for greater flexibility—in mission design, operation and resource deployment,” said Joel Parry, Draper’s maritime warfare and intelligence, surveillance and reconnaissance (ISR) lead.

Undersea represents a region of growing importance for commercial uses and national security missions. Draper’s contributions in this area include the Maritime Open Architecture Autonomy (MOAA), a framework for autonomous mission controllers which is designed to bring greater flexibility in mission design, operation and resource deployment.
Capabilities Used
Positioning, Navigation & Timing (PNT)

Draper develops novel PN&T solutions by combining precision instrumentation, advanced hardware technology, comprehensive algorithm and software development skills, and unique infrastructure and test resources to deploy system solutions. The scope of these efforts generally focuses on guidance, navigation, and control GN&C-related needs, ranging from highly accurate, inertial solutions for (ICBMs) and inertial/stellar solutions for SLBMs, to integrated Inertial Navigation System(INS)/GPS solutions for gun-fired munitions, to multisensor configurations for soldier navigation in GPS-challenged environments. Emerging technologies under development that leverage and advance commercial technology offerings include celestial navigation (compact star cameras), inertial navigation (MEMS, cold atom sensors), precision time transfer (precision optics, chip-scale atomic clocks) and vision-based navigation (cell phone cameras, combinatorial signal processing algorithms).

Autonomous Systems

Draper combines mission planning, PN&T, situational awareness, and novel GN&C designs to develop and deploy autonomous platforms for ground, air, sea and undersea needs. These systems range in complexity from human-in-the-loop to systems that operate without any human intervention. The design of these systems generally involves decomposing the mission needs into sets of scenarios that result in trade studies that lead to an optimized solution with key performance requirements.  Draper continues to advance the field of autonomy through research in the areas of mission planning, sensing and perception, mobility, learning, real-time performance evaluation and human trust in autonomous systems.

Image & Data Analytics

Draper combines specific domain expertise and knowledge of how to apply the latest analytics techniques to extract meaningful information from raw data to better understand complex, dynamic processes. Our system design approach encompasses effective organization and processing of large data sets, automated analysis using algorithms and exploitation of results. To facilitate user interaction with these processed data sets, Draper applies advanced techniques to automate understanding and correlation of patterns in the data. Draper’s expertise encompasses machine learning (including deep learning), information fusion from diverse and heterogeneous data sources, optimized coupling of data acquisition and analysis and novel methods for analysis of imagery and video data.

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