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Company Information:

Company Name: Neya Systems, LLC
City: Wexford
State: PA
Zip+4: -
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phone: N/A

Award Totals:

Program/Phase Award Amount ($) Number of Awards
SBIR Phase I $464,554.00 4
SBIR Phase II $1,387,234.00 1
STTR Phase I $249,862.00 2

Award List:

Standards Based Unmanned Ground Vehicle Mission Language Translator with Graphical Planning Tool.

Award Year / Program / Phase: 2010 / SBIR / Phase I
Agency / Branch: DOD / ARMY
Principal Investigator: Parag Batavia, Owner
Award Amount: $69,856.00
The long term goal for unmanned ground vehicles (UGVs) in the services is to act as force multiplier, to reduce risk to human personnel, and to enable new tactics, techniques, and procedures (TTPs). UGVs are intended to support a wide range of mission types ranging from EOD, to reconnaissance, to… More

A Casualty Evacuation Mission Management System for High Degree of Freedom Platforms

Award Year / Program / Phase: 2011 / STTR / Phase I
Agency / Branch: DOD / ARMY
Research Institution: Carnegie Mellon University
Principal Investigator: Parag Batavia, President – (724) 612-2959
Award Amount: $99,926.00
RI Contact: Howie Choset
The combined team of Neya Systems, LLC (NSL), and Carnegie Mellon University (CMU), propose to develop the Casualty Evacuation Mission Management System (CEMMS), an effort that will provide significant opportunities to: 1. Develop a Domain Specific Language (DSL) that enables translation from… More

A Mission Planning and Management System for UGVs with Language Translation and Graphical User Interface

Award Year / Program / Phase: 2011 / SBIR / Phase II
Agency / Branch: DOD / ARMY
Principal Investigator: Parag Batavia, President – (724) 799-8078
Award Amount: $1,387,234.00
As robots become more widely employed in tactical operations and gain greater autonomy for doing simple tasks, they must become more integrated into the processes of mission planning and management. This integration will come by means of standardized command and control interfaces mandated by the… More

SBIR Phase I: Online High Fidelity 3D Modeling of Produce Using Low Cost Sensors

Award Year / Program / Phase: 2012 / SBIR / Phase I
Agency: NSF
Principal Investigator: Parag Batavia
Award Amount: $145,485.00
This Small Business Innovation Research (SBIR) Phase I project investigates the feasibility of employing high?resolution, colorized, 3D models of food produce captured with structured light technology to identify (ID) and sort produce by quality. The feasibility of accomplishing this within the… More

HCI and C2 for Autonomous Air Evacuation of Casualties

Award Year / Program / Phase: 2013 / SBIR / Phase I
Agency: DOD
Principal Investigator: Parag Batavia, President – (724) 799-8078
Award Amount: $99,440.00
Fixed wing UAVs such as the Predator, Global Hawk, and Shadow have become invaluable C4ISR and force projection assets. They have acted as force multiplers, have reduced risk to human personnel, and have enabled new tactics, techniques, and procedures (TTPs). Use of Vertical Takeoff and Landing… More

Adaptive multi-sensor wide area situational awareness system

Award Year / Program / Phase: 2013 / STTR / Phase I
Agency / Branch: DOD / USAF
Research Institution: U. Illinois Urbana Champaign
Principal Investigator: Michael Happold, Senior Research Scientist – (724) 799-8078
Award Amount: $149,936.00
RI Contact: Linda Learned
ABSTRACT: Confronted by a vast quantity of data, presented piecemeal, sporadically and at varying levels of detail, the human analyst is often overwhelmed when trying to effectively monitor even medium-sized areas of interest. Offline, there is a wealth of data, resolution, and time to pick through… More

Long-distance 3-D Reconstruction from EO/IR Imagery

Award Year / Program / Phase: 2013 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Mark Ollis, Director of R&D – (724) 799-8078
Award Amount: $149,773.00
ABSTRACT: The production of 3D models from aerial imagery has been an active research area for many years. Given sufficient image texture and a variety of divergent camera viewpoints, camera pose and scene structure are fully recoverable. Further, software for fully reconstructing a scene from an… More