Unmanned Spacecraft

Unmanned spacecraft research centers on developing autonomous systems for various space missions, focusing on improving navigation, control, and onboard decision-making capabilities. Current research emphasizes the use of machine learning, particularly deep learning models like convolutional neural networks (CNNs) and reinforcement learning (RL), for tasks such as pose estimation, object detection (including space debris), and autonomous navigation. These advancements are crucial for enhancing safety, efficiency, and the scientific return of space exploration, enabling complex operations like rendezvous, docking, and asteroid characterization with reduced reliance on ground control.