At present, the spacecraft service mode is the “Long satellite-terrestrial loop”, which cannot meet the needs of highly time-sensitive applications, due to long links and large delays. A series of Artificial Intelligence-based technologies, such as network interconnection, autonomous decision-making, autonomous mission planning, and on-orbit information processing, will supply some effective ways to solve this problem.
Topics of interest include but are not limited to:
The workshop welcomes submissions reporting research that advances artificial intelligence-based network interconnection, autonomous decision-making, autonomous mission planning, and on-orbit information processing. All submissions on space intelligence, mega-constellation architecture, communication/navigation/remote sensing are welcome. The intention of the workshop is to bring together researchers, industry practitioners, and individuals working on the related areas to share their new ideas, latest findings, and state-of-the-art results. Topics of interest include, but are not limited to, the following scope:
- Machine learning (deep learning, statistical learning, etc)
- Computer vision
- Data mining
- Multiagent systems
- Knowledge representation
- Human-in-the-loop AI
- Mega-constellation architecture
- Planning and reasoning
- Robotics and perception
- Data processing and transmission
- Satellite application
- Satellite communication and navigation
- Satellite remote sensing
In addition to fundamental work focused on any one of these areas we expressly encourage work that cuts across technical areas of AI, (e.g., machine learning and computer vision; computer vision and natural language processing; or machine learning and planning), bridges between AI and a related research area.
- Dan Wang, Beijing Institute of Spacecraft System Engineering, China ([email protected]).
- Fan Bai, Beijing Institute of Spacecraft System Engineering, China ([email protected]).
- Sheng Yu, Beijing Institute of Spacecraft System Engineering, China ([email protected]).
- Jionghui Li, Beijing Institute of Spacecraft System Engineering, China ([email protected]).
- Ling Tong, China Academy of Space Technology, China ([email protected]).
Papers should be submitted through EAl’Confy+’system, and have to comply with the Springer format(see Author’s kit section).
- Regular papers should be up to 12-15+ pages in length.
- Short papers should be 6-11 pages in length.
All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAl Community Review which allows EAl members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.
Workshop Track Deadlines:
Full Paper Submission deadline: 30 September 2022
Notification deadline: 25 October 2022
Camera-ready deadline: 10 November 2022
Start of Conference: 23 November 2022
End of Conference: 25 November 2022