Heuristic search via graphical structure in temporal interval-based planning for deep space exploration-Reference-Cited by-同舟云学术

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Heuristic search via graphical structure in temporal interval-based planning for deep space exploration

Published:2020-01 Issue: Volume:166 Page:400-412
ISSN:0094-5765
Container-title:Acta Astronautica
language:en
Short-container-title:Acta Astronautica

Author:

Jin Hao,Xu Rui,Cui Pingyuan,Zhu Shengying^ORCID,Jiang Huiping,Zhou Feng

Funder

National Natural Science Foundation of China

Aerospace Industrial Technology Development Program

Civil Aerospace Technology Research Project of China

111 Project

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference28 articles.

1. Space station overall mission planning using decomposition approach;Lin;Aero. Sci. Technol.,2014

2. Realization of multi-agent planning system for autonomous spacecraft;Xu;Adv. Softw. Eng.,2005

3. Onboard mission planning for agile satellite using modified mixed-integer linear programming;She;Aero. Sci. Technol.,2018

4. Onboard autonomy on the intelligent payload EXperiment CubeSat mission;Chien;J. Aerosp. Inf. Syst.,2016

5. Increased Mars rover autonomy using AI planning, scheduling and execution;Estlin,2007

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1. Deep reinforcement learning based planning method in state space for lunar rovers;Engineering Applications of Artificial Intelligence;2024-01

2. Optimal Orbit Design and Mission Scheduling for Sun-Synchronous Orbit On-orbit Refueling System;IEEE Transactions on Aerospace and Electronic Systems;2023

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