TY - GEN
T1 - Dynamic Programming Approach to Multi-Agent Spacecraft Formation Trajectory Planning
AU - Bose, Lucky
AU - Nchama, Vicente Angel Obama Biyogo
AU - Shi, Peng
AU - Rafsun, Isfaq Ahmed
AU - Masum, Sajjad Hossain
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Spacecraft Formation Flying enables the deployment of multiple spacecraft in a coordinated arrangement or pattern to achieve complex observational and communication tasks while maintaining relative position. In such scenarios, one of the most critical challenges is to design the optimal trajectories that manage the formation integrity while keeping the mission cost-effective and avoiding the risen obstacles. This paper presents a novel approach to plan trajectories for spacecraft formation flying utilizing Multi-Agent Dynamic Programming (MADP), a decentralized computational approach that leverages the problems while considering constraints and handling the complex combination of multi-spacecraft coordination.
AB - Spacecraft Formation Flying enables the deployment of multiple spacecraft in a coordinated arrangement or pattern to achieve complex observational and communication tasks while maintaining relative position. In such scenarios, one of the most critical challenges is to design the optimal trajectories that manage the formation integrity while keeping the mission cost-effective and avoiding the risen obstacles. This paper presents a novel approach to plan trajectories for spacecraft formation flying utilizing Multi-Agent Dynamic Programming (MADP), a decentralized computational approach that leverages the problems while considering constraints and handling the complex combination of multi-spacecraft coordination.
KW - Autonomous spacecraft
KW - Continuous system's Dynamic Programming
KW - Hamilton-Jacobi-Bellman equation
KW - multi-agent Spacecraft system
UR - https://www.scopus.com/pages/publications/105020966247
U2 - 10.1109/CCAI65422.2025.11189537
DO - 10.1109/CCAI65422.2025.11189537
M3 - 会议稿件
AN - SCOPUS:105020966247
T3 - 2025 IEEE 5th International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
SP - 737
EP - 742
BT - 2025 IEEE 5th International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Computer Communication and Artificial Intelligence, CCAI 2025
Y2 - 23 May 2025 through 25 May 2025
ER -