Session
Advanced Technologies 3
Location
Salt Palace Convention Center, Salt Lake City, UT
Abstract
The Next-Generation Multi-Agent Swarm (NGS) Study conducted by NASA’s Ames Research Center for NASA’s Space Technology Mission Directorate (STMD) has developed a comprehensive understanding of emerging multi-agent swarm capabilities for applications in cislunar and lunar space. This paper addresses specific shortfalls identified by STMD, including intelligent multi-agent constellations, autonomy, edge computation, position, navigation, and timing for small spacecraft, and small spacecraft propulsion. This paper surveys the current state of the art in technology areas relevant for the next-generation multi-agent swarm design. Our primary focus is on surveying relevant deployed space systems, supplemented with selective analysis of relevant proposed missions and technology developments that have yet to fly. A classification for domains in multi-agent swarms is proposed and relevant mission capabilities are evaluated. This paper identifies gaps in multi-agent swarms to highlight areas for future advancement.
Document Type
Event
A Survey of the State of the Art in Multi-Spacecraft, Multi-Agent Swarms
Salt Palace Convention Center, Salt Lake City, UT
The Next-Generation Multi-Agent Swarm (NGS) Study conducted by NASA’s Ames Research Center for NASA’s Space Technology Mission Directorate (STMD) has developed a comprehensive understanding of emerging multi-agent swarm capabilities for applications in cislunar and lunar space. This paper addresses specific shortfalls identified by STMD, including intelligent multi-agent constellations, autonomy, edge computation, position, navigation, and timing for small spacecraft, and small spacecraft propulsion. This paper surveys the current state of the art in technology areas relevant for the next-generation multi-agent swarm design. Our primary focus is on surveying relevant deployed space systems, supplemented with selective analysis of relevant proposed missions and technology developments that have yet to fly. A classification for domains in multi-agent swarms is proposed and relevant mission capabilities are evaluated. This paper identifies gaps in multi-agent swarms to highlight areas for future advancement.
