2021 BRN Discussion, page-275

Phase 11

https://sbir.nasa.gov/solicit/66886/detail?data=ch9

Couple snippets

The “Deep Neural Net and Neuromorphic Processors for In-Space Autonomy and Cognition” subtopic specifically focuses on advances in signal and data processing.

Neuromorphic processing will enable NASA to meet growing demands for applying artificial intelligence and machine learning algorithms onboard a spacecraft to optimize and automate operations.

Neuromorphic processors can enable a spacecraft to sense, adapt, act, and learn from its experiences and from the unknown environment without necessitating involvement from a mission operations team.

The “Coordination and Control of Swarms of Space Vehicles” subtopic addresses technologies for control and coordination of planetary rovers, flyers, and in-space vehicles in dynamic environments.
Coordinated swarms can provide a more robust and sensor-rich approach to space missions, allowing simultaneous recording of sensor data from dispersed vehicles and co-ordination especially in challenging environments such as cave exploration.

Primary interest is in technologies appropriate for low-cardinality (4- to 15-vehicle) swarms of small spacecraft, as well as planetary rovers and flyers (e.g., Mars helicopter).