PDF(826 KB)
Mission Planning Based on Dynamic Agent Interaction Graph for Deep Space Probes
- ZHAO Yuting1,2, XU Rui1,2, LI Zhaoyu1,2, ZHU Shengying1,2
Author information
+
1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China;
2. Key Laboratory of Autonomous Navigation and Control for Deep Space Exploration, Ministry of Industry and Information Technology, Beijing 100081, China
Show less
History
+
Received |
Revised |
Published |
06 Apr 2021 |
03 Jun 2021 |
20 Oct 2021 |
Issue Date |
|
20 Oct 2021 |
|
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
This is a preview of subscription content, contact
us for subscripton.
References
[1] BARREIRO J, BOYCE M, DO M, et al. EUROPA: a platform for AI planning, scheduling, constraint programming, and optimization[Z]. ICAPS-12 International Competition on Knowledge Engineering for Planning and Scheduling (ICKEPS). [S. l. ]: ICKEPS, 2012.
[2] FRANK J, JONSSON A. Constraint-based attribute and interval planning[J]. Journal of Constraints Special Issue on Constraints and Planning,2003(8):339-364
[3] MUSCETTOLA N, NAYAK P P, PELL B, et al. Remote agent: to boldly go where no AI system has gone before[J]. Artificial Intelligence,1998(103):5-47
[4] MUSCETTOLA N, FRY C, RAJAN K, et al. On-board planning for New Millennium Deep Space One autonomy[C]//IEEE Aerospace Conference. [S. l. ]: IEEE, 2002.
[5] TRAN D, CHIEN S, SHERWOOD R, et al. The autonomous sciencecraft experiment onboard the eo-1 spacecraft[C]//Autonomous Agents and Multiagent Systems, 2004. [S. l. ]: IEEE, 2004.
[6] CHIEN S, RABIDEAU G, KNIGHT R, et al. ASPEN - automating space mission operations using automated planning and scheduling[C]//In Proceedings of SpaceOps. Toulouse, France: [s. n. ], 2000.
[7] KNIGHT R, RABIDEAU G, CHIEN S, et al. Casper: space exploration through continuous planning[J]. IEEE Intelligent Systems and Their Applications,2001,16(5):70-75
[8] 金颢, 徐瑞, 崔平远, 等. 基于状态转移图的启发式深空探测器任务规划方法[J]. 深空探测学报(中英文),2019,6(4):364-368
JIN H, XU R, CUI P Y, et al. Heuristic search based on state transition graphs for deep space task planning[J]. Journal of Deep Space Exploration,2019,6(4):364-368
[9] 王晓晖, 李爽. 深空探测器约束简化与任务规划方法研究[J]. 宇航学报,2016,37(7):768-774
WANG X H, LI S. Research on constraint simplification and mission planning method for deep space explorer[J]. Journal of Astronautics,2016,37(7):768-774
[10] BRAFMAN R I, DOMSHLAK C. From one to many: planning for loosely coupled multi-agent systems[C]// ICAPS. [S. l. ]: ICAPS, 2008.
[11] ?TOLBA M, KOMENDA A. The MADLA planner: multi-agent planning by combination of distributed and local heuristic search[J]. Artificial Intelligence,2017(252):175-210
[12] TORRE?O A, ONAINDIA E, SAPENA ó. FMAP: distributed cooperative multi-agent planning[J]. Applied Intelligence,2015(41):606-626
[13] TORRE?O A, ONAINDIA E, KOMENDA A, et al. Cooperative multi-agent planning: a survey[J]. ACM Computing Surveys,2017(50):1-32
[14] XU R, CUI P Y, XU X. Realization of multi-agent planning system for autonomous spacecraft[J]. Advances in Engineering Software,2005(36):266-72
[15] DECHTER R, MEIRI I, PEARL J. Temporal constraint networks[J]. Artificial Intelligence,1991(49):61-95
[16] 陈德相, 徐瑞, 崔平远. 航天器资源约束的时间拓扑排序处理方法[J]. 宇航学报,2014,35(6):669-676
CHEN D X, XU R, CUI P Y. A Temporal topological sort processing method for spacecraft resources constraints[J]. Journal of Astronautics,2014,35(6):669-676
[17] IATAURO M. How does EUROPA solve problems?[EB/OL](2014-10-22)[2021-04-06].https://github.com/nasa/europa/wiki/Bak-Problem-Solving, (accessed 01.10.20).