The field of satellite technology and autonomous systems is rapidly evolving, with a focus on improving efficiency, scalability, and decision-making in complex environments. Recent developments have centered around the use of distributed frameworks, reinforcement learning, and graph-aware temporal encoders to optimize resource allocation, service migration, and inter-satellite link configuration. These innovations have the potential to enhance the performance of satellite constellations, enable more autonomous and resilient operations, and support the growing demand for low-latency and high-capacity space communications. Notable papers in this area include EarthSight, which introduces a distributed runtime framework for low-latency satellite image intelligence, and the proposal of a transformer-based reinforcement learning framework for multi-phase spacecraft trajectory optimization. Additionally, research on multi-agent reinforcement learning for heterogeneous satellite cluster resources optimization and graph-aware temporal encoder-based service migration and resource allocation has shown promising results. Overall, these advancements are expected to play a crucial role in shaping the future of satellite technology and autonomous systems.
Advancements in Satellite Technology and Autonomous Systems
Sources
EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence
Multi-Phase Spacecraft Trajectory Optimization via Transformer-Based Reinforcement Learning
Visibility-aware Satellite Selection and Resource Allocation in Multi-Orbit LEO Networks
Multi-Agent Reinforcement Learning for Heterogeneous Satellite Cluster Resources Optimization
Green Emergency Communications in RIS- and MA-Assisted Multi-UAV SAGINs: A Partially Observable Reinforcement Learning Approach
Deep reinforcement learning-based spacecraft attitude control with pointing keep-out constraint
Bringing Federated Learning to Space
Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning
Inter-Satellite Link Configuration for Fast Delivery in Low-Earth-Orbit Constellations
Graph-Aware Temporal Encoder Based Service Migration and Resource Allocation in Satellite Networks
Modeling Pointing, Acquisition, and Tracking Delays in Free-Space Optical Satellite Networks