From planetary, lunar, and asteroid exploration to complex orbital operations such as landing, rendezvous, and in-orbit servicing, modern space missions increasingly rely on advanced spacecrafts and robotic systems. To ensure mission success and unlock meaningful insights into space and the origins of the universe, these probes require ever-greater levels of autonomy. The AI4OPA workshop will explore how Deep Learning (DL) and Artificial Intelligence (AI) can serve as powerful tools to enhance the autonomy of both orbital and planetary space missions. A dedicated subtopic of the workshop is the open-sourcing of space-related datasets and benchmarks that are essential for the training and evaluation of Machine Learning models.

The workshop aims to bring together researchers and practitioners to share their experiences, challenges, and insights on how recent advances in machine learning, reinforcement learning, computer vision, and planning can improve robotic autonomy in space.