Autonomous Conjunction Assessment Algorithm Development
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AI Contract Overview
The contract involves the development and integration of advanced software algorithms for CubeSats to enable autonomous detection of orbital conjunctions and automatic generation of collision avoidance maneuvers. This effort aims to enhance the capability of small satellites to independently assess potential collision risks in orbit and execute maneuvers to prevent them, improving overall space situational awareness and satellite safety. Awarded by NASA Ames Research Center, the subcontract is designated under NAICS code 541715, which relates to research and development in physical, engineering, and life sciences. The work will be performed in Palo Alto, California, with the primary focus on algorithmic innovation for autonomous spacecraft operations. This project reflects NASA's commitment to advancing autonomous technologies to support the growing population of satellites in increasingly congested orbital environments.
General Info
Place of Performance
Palo Alto, CA, 94304, USASet-Aside
Documents
This scope was carved out of 80ARC026P0002.
The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.
Autonomous Space-Based Situational Awareness Software - Starling Mission Follow-On
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