Task Assignment

survey

• 2004.09： A Formal Analysis and Taxonomy of Task Allocation in Multi-Robot Systems
  • 多机器人系统中任务分配的形式分析和分类
• 2018.10: Should We Compete or Should We Cooperate? Applying Game Theory to Task Allocation in Drone Swarms
  • 机器人应该合作以完成尽可能多的任务
  • IROS
• 2019: A Mission Planning and Task Allocation Framework For Multi-UAV Swarm Coordination
• 2020.08: Energy Efficient Task Cooperation for Multi-UAV Networks: A Coalition Formation Game Approach
  • 多无人机网络的节能任务合作：联盟形成博弈方法
  • IEEE Access
  • College of Communications Engineering, Army of PLA, Nanjing, NUDT
• 2022.06: Task assignment algorithms for unmanned aerial vehicle networks: A comprehensive survey
  • 无人机网络的任务分配算法: 全面的综述
  • Vehicular Communications cited 78
• 2022.10: A Survey of UAV Swarm Task Allocation Based on the Perspective of Coalition Formation
  • IJSIR
  • 基于联盟组建视角的无人机集群任务分配研究综述
  • Engineering University of PAP, China
• 2023.11: A Review of Task Allocation Methods for UAVs
• 2024: A Heuristic Task Allocation Method Based on Overlapping Coalition Formation Game for Heterogeneous UAVs
• 2024.06: Distributed dynamic task allocation for unmanned aerial vehicle swarm systems: A networked evolutionary game-theoretic approach
• 2024.12: Application of Task Allocation Algorithms in Multi-UAV Intelligent Transportation Systems: A Critical Review
  • 任务分配算法在多无人机智能交通系统中的应用: 批判性回顾
  • 都灵理工学院机械与航空航天工程系
  • BDCC IF(3.7)
• 2025.01.19: Multi-UAV Task Assignment in Dynamic Environments: Current Trends and Future Directions
  • 沙特国王大学
  • doi

papers

• 2024.05: Task Allocation in Heterogeneous Multi-Robot Systems Based on Preference-Driven Hedonic Game
  • 基于偏好驱动享乐博弈的异构多机器人系统任务分配
  • ICRA; Li Wang
• 2024: Coalition Formation Game Approach for Task Allocation in Heterogeneous Multi-Robot Systems under Resource Constraints
  • 资源约束下异构多机器人系统任务分配的联盟形成博弈方法
  • IROS; Li Wang
• 2024: Distributed task allocation algorithm for heterogeneous unmanned aerial vehicle swarm based on coalition formation game
  • 基于联盟形成博弈的异构无人机集群分布式任务分配算法

projects and codes

• github: mission_planning
• RACER, a RApid Collaborative ExploRation approach using a fleet of decentralized UAVs.

Policies

• 无人机集群任务分配技术研究综述 系统工程与电子技术, 2024, 46(3): 922-934
  • doi: 10.12305/j.issn.1001-506X.2024.03.18

US

Small unmanned aircraft systems (SUAS) flight plan

• OTTO R P. Small unmanned aircraft systems (SUAS) flight plan: 2016-2036[R]. Washington, DC: United States Air Force, 2016.
• 2016 年 5 月, 美国空军发布的小型无人机系统发展路线图《2016-2036 年小型无人机系统飞行规划》
• 为确保战争的制胜能力与强军事对抗环境下的非对称优势, 应重点研究更具成本效益和作战威力的集群式无人机作战样式。
• 详细阐述了“无人机蜂群”的概念, 并计划在 2036 年建成横跨航空、太空、网空三大作战领域的无人机集群作战系统。

Unmanned systems integrated roadmap 2017-2042

• FACHEY K M, MILLER M J. Unmanned systems integrated roadmap 2017-2042[R]. Arlington Country: Office of the Secretary of Defense, 2018.
• 2018 年 8 月, 美国国防部发布的《无人系统综合路线图 2017-2042》
• 指出了 19 项近、远期需要重点发展的面向军事作战需求、能大幅提升无人机集群作战效能的关键技术, 包括开放式体系架构、机器学习、人工智能等。

美国海军研究生院

• GIAMMARCO K, HUNT S, WHITCOMB C. An instructional design reference mission for search and rescue operations[R]. Monterey, California: Naval Postgraduate School, 2015.
• GILES C K. A framework for integrating the development of swarm unmanned aerial system doctrine and design[R]. Monterey, California: Department of Systems Engineering Naval Postgraduate School, 2017.
• 提出了一种面向无人集群作战体系设计的一体化框架, 该框架针对未来无人机集群作战的去中心化、自组网、扁平化结构等特点, 构建了无人机集群“使命-战术-行动-算法-数据”五层任务框架, 并以无人机集群执行情报、监视、侦察和空战任务为例分析了无人机集群在每层中的具体任务, 给出了具体的军事概念模型。

CN

2017-07《新一代人工智能发展规划》

• 多次提及“群体感知、协同与演化”“群体集成智能”“自主无人系统”等概念, 同时明确指出应将人工智能与无人机集群紧密融合, 借助人工智能重点突破无人系统相关核心技术, 实现无人机集群相关技术的跨越式发展。

PLA

解放军报 2019 年 10 月发表《加速推进军事智能化》文章, 将智能集群作战协同技术列为智能化战争的基石;