Research on Multi satellite Collaborative Task Planning Technology
Abstract As satellite technology advances and its applications expand, multi-satellite collaborative task planning has emerged as a key solution to address the growing demand for observation tasks amid limited satellite resources. By leveraging advanced planning algorithms and collaborative mechanisms, this approach optimizes resource allocation, enhances task execution efficiency, and reduces energy consumption and maintenance costs for satellites. Furthermore, multi-satellite collaborative task planning increases system robustness, allowing satellites to handle complex tasks and extreme conditions effectively. This article reviews recent research in this field, highlighting its significance in improving satellite system performance and meeting complex task requirements. The aim is to provide researchers with an overview of the current landscape and future directions in multi-satellite collaborative task planning, thus promoting the advancement of satellite technology and contributing to national security, economic growth, and scientific progress.
Authors
- Dechao Ran (ORCID: https://orcid.org/0000-0002-7446-7178)
- Weijin Qin (ORCID: https://orcid.org/0000-0003-2883-9281)
- Yang Liu (ORCID: https://orcid.org/0000-0001-5477-2186)
- Kang Wang (ORCID: https://orcid.org/0000-0002-9473-4878)
- Jingguo Wang (ORCID: https://orcid.org/0000-0003-2412-4641)
- Peiming Wu (ORCID: https://orcid.org/0000-0002-1314-800X)
Institutions
- Beijing Fengtai Hospital (CN)
Publication Details
- Journal
- Journal of Physics Conference Series
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1088/1742-6596/3022/1/012011
- Primary Topic
- Mobile Agent-Based Network Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00