NASA's Perseverance rover uses robotic autonomy to achieve its mission goals on Mars. Its
self-driving autonomous navigation system (AutoNav) has been used to evaluate 88% of the …

Earth Observation (EO) spacecraft plays a pivotal role in various critical applications
impacting life on Earth. Historically, these systems have adhered to conventional operational …

Abstract Significant advancements in Earth Observation (EO) technologies, encompassing
global remote sensing and environment sensor networks, have greatly progressed the field …

This work explores reinforcement learning (RL) for on-board planning and scheduling of an
agile Earth-observing satellite (AEOS). In this formulation of the AEOS scheduling problem …

Future space missions will process and analyze imagery on board as well as plan and act
more autonomously, placing greater demands on flight computing. Traditional flight …

This work explores on-board planning for the single spacecraft, multiple ground station Earth-
observing satellite scheduling problem through artificial neural network function …

Recent developments in New Space companies have led to a dramatic increase in
capabilities in Earth Observation. These advances in edge computing, low latency …

Many science phenomena are difficult to observe because they occur infrequently and
without warning. Over the course of the last 20 years, the concept of a “sensorweb,” or a …

Increased space sensing enables new measurements of a wide range of Earth science
phenomena including volcanism, flooding, wildfires, and weather. Large-scale observation …

This work explores single-agent reinforcement learning for the multi-satellite agile Earth-
observing scheduling problem. The objective of the problem is to maximize the weighted …