NASA - Integrated Graphics Op and Analysis Lab (iGOAL) - MRAS

The General Services Administration (GSA), on behalf of the National Aeronautics and Space Administration (NASA), is conducting market research to support the Software, Robotics, and Simulation Division (SR&SD) at NASA's Lyndon B. Johnson Space Center (JSC). The SR&SD is integral in providing cutting-edge software development and engineering solutions in automation, intelligent systems, telerobotics, autonomous robotic systems for both ground and space flight applications, as well as simulation and training. This division also plays a crucial role in supporting the International Space Station (ISS) alongside other advanced programs.

The contract under consideration seeks to enhance the capabilities of the Integrated Graphics, Operations, and Analysis Lab (IGOAL). The scope of work includes a comprehensive suite of services aimed at advancing NASA's software programming and engineering efforts. Key tasks include maintaining and upgrading existing computer graphics software applications, researching and developing innovative new software solutions, generating video documentation for various purposes, supporting training initiatives through computer and mobile applications, and ensuring smooth operation of the IGOAL laboratory.

Deliverables expected from this contract encompass a wide array of products essential to NASA's mission. These include software deliveries that focus on developing algorithms for specialized problems in 3D computer graphics and visual simulation. Additionally, there is an emphasis on gamification strategies for educational outreach programs as well as training utilities that ensure effective configuration control within lab operations. The contractor will also be responsible for producing visual documentation such as 3D graphics models, user guides, monthly reports detailing progress and challenges faced during implementation phases, presentations for stakeholders' review sessions, financial management reports to track budgetary allocations efficiently along with other necessary data products.