Electronics Optics & Control, Volume. 31, Issue 11, 1(2024)

Task Planning Methods for Manned/Unmanned System Cooperative Combat: Review and Prospect

XIN Bin, YU Rui, and ZHANG Jia
Author Affiliations
  • School of Automation, Beijing Institute of Technology, Beijing 100000, China
  • show less
    References(15)

    [6] [6] LIU Q P, ZHANG J, XIN B, et al. Overview of task understanding of unmanned combat systems[C]//2019 3rd International Symposium on Autonomous Systems (ISAS). Shanghai: IEEE, 2019: 434-438.

    [8] [8] CHEN D L, MOONEY R. Learning to interpret natural language navigation instructions from observations[C]//Proceedings of the AAAI Conference on Artificial Intelligence. San Francisco: AAAI, 2011: 859-865.

    [9] [9] BRANAVAN S R K, CHEN H, ZETTLEMOYER L S, et al. Reinforcement learning for mapping instructions to actions[C]//Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. Singapore: [s.n.], 2009: 82-90.

    [26] [26] FUJITA S, MASUKAWA M, TAGASHIRA S. A fast branch-and-bound algorithm with an improved lower bound for solving the multiprocessor scheduling problem[C]//Ninth International Conference on Parallel and Distributed Systems. Taipei: IEEE, 2002: 611-616.

    [28] [28] LEVCHUK G M, LEVCHUK Y N, PATTIPATI K R, et al. Mapping flows onto networks to optimize organizational processes[C]//Proceedings of the 7th Command & Control Research & Technology Symposium.[S.l.]: [s.n.], 2002: 11-14.

    [31] [31] SHU Z, WANG W P, WANG R. Design of an optimized architecture for manned and unmanned combat system-of-systems: formulation and coevolutionary optimization[J]. IEEE Access, 2018, 6: 52725-52740.

    [34] [34] BAKOLAS E, LEE Y. Decentralized game-theoretic control for dynamic task allocation problems for multi-agent systems[C]//2021 American Control Conference (ACC). New Orleans: IEEE, 2021: 3228-3233.

    [35] [35] WANG J S, WANG J, HAN Q L. Multivehicle task assignment based on collaborative neurodynamic optimization with discrete Hopfield networks[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(12): 5274-5286.

    [39] [39] YANG Z R, BAI L T, CHE K, et al. Collaborative task allocation for multi-UAV based on genetic algorithm[C]//China Aeronautical Science and Technology Conference. Singapore: Springer, 2023: 35-46.

    [40] [40] KIM M H, BAIK H, LEE S. Response threshold model based UAV search planning and task allocation[J]. Journal of Intelligent & Robotic Systems, 2014, 75: 625-640.

    [41] [41] WU H, LI H, XIAO R, et al. Modeling and simulation of dynamic ant colony's labor division for task allocation of UAV swarm[J]. Physica A: Statistical Mechanics and its Applications, 2018, 491: 127-141.

    [44] [44] HUANG Q, MA X M, LIU K, et al. Autonomous reconnaissance action of swarm unmanned system driven by behavior tree[C]//2022 IEEE International Conference on Unmanned Systems (ICUS). Guangzhou: IEEE, 2022: 1540-1544.

    [51] [51] SURDU J R, KITTKA K. Deep green: commander's tool for COA's concept[J]. Computing, Communications and Control Technologies, 2008, 34(8): 45-51.

    [52] [52] DARR T P, BENJAMIN P, MAYER R. Course of action planning ontology[C]//Ontology for the Intelligence Community Conference (OIC 2009). Fairfax: George Mason University, 2009: 17135422.

    [68] [68] SUN X T, HU Y, QIN Y C, et al. Risk assessment of unmanned aerial vehicle accidents based on data-driven Bayesian networks[J]. Reliability Engineering & System Safety, 2024, 248: 110185.

    Tools

    Get Citation

    Copy Citation Text

    XIN Bin, YU Rui, ZHANG Jia. Task Planning Methods for Manned/Unmanned System Cooperative Combat: Review and Prospect[J]. Electronics Optics & Control, 2024, 31(11): 1

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Apr. 20, 2024

    Accepted: Jan. 2, 2025

    Published Online: Jan. 2, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2024.11.001

    Topics