Progressive autonomy: a method for gradually introducing autonomy into space missions

This paper presents a method under development for introducing autonomy and agent-based software into future space- and ground-based missions while both reducing the risk of mission failures and gaining the confidence and support of mission management and principal investigators (PIs). This is being done using a mechanism to support dynamic agent-community evolution (e.g., agents adapting to community changes, agents joining a community, or agents leaving a community). This dynamic capability of agents is necessary to achieve what we call ‘‘progressive autonomy,’’ which will allow dynamic modification of satellite systems using agent migration to update and modify spacecraft capabilities on an as-needed basis, as well as allow the introduction of mission management and autonomy into existing missions. This paper will also address an application of progressive autonomy through spectral analysis automation (SAA). The long-term fully realized SAA system will be a multiagent system designed to provide automated support for two major functions: (1) the automatic remote filtering (onboard a spacecraft or robotic device) of spectral image data based on PI guidance, goals, and science agenda and (2) the packing and transmission of the selected spectral data to the PI for further processing. Additionally, the innovative multiagent-based infrastructure for the SAA can be generalized in such a way as to enable it to support the type of progressive autonomy that will be needed to support an adaptive and growing autonomous behavior for other spacecraft or robotic subsystems.