Submitted successfully

Track Ⅲ

Task Planning and Cooperative Control of Unmanned Swarm Systems
无人集群系统任务规划与协同控制
Submission Deadline: September 15, 2026 

 

Chair: Co-chair:  
 
Xucheng Chang Ling Li  
Zhengzhou University of Aeronautics, China Zhengzhou University of Aeronautics, China  
     
Keywords:    
  • Unmanned swarm systems (无人集群系统)
  • Dynamic task scheduling (动态任务调度)
  • Multi-objective task assignment (多目标任务分配)
  • Cooperative path planning (协同路径规划)
  • Multi-UAV collision avoidance (多无人平台避障)
  • Online real-time replanning (在线实时重规划)
     
Topics:    
  • Dynamic modeling of unmanned swarm oriented to task allocation and path planning (面向任务分配与路径规划的无人集群动力学建模)
  • Multi-objective, multi-constraint swarm static/dynamic task allocation algorithms (多目标多约束集群静态/动态任务分配算法)
  • Heterogeneous unmanned swarm collaborative task assignment mechanism (异构无人集群协同任务分配机制)
  • Complex battlefield/field environment multi-swarm cooperative path planning (复杂场地/战场环境多集群协同路径规划)
  • Swarm path planning with obstacle avoidance, threat avoidance and energy constraints (兼顾避障、避威胁与能耗约束的集群路径规划)
  • Joint optimization of high-level task allocation and low-level path planning (高层任务分配与底层路径规划一体化联合优化)
  • Distributed task-path collaborative planning under limited communication topology (通信拓扑受限下分布式任务-路径协同规划)
  • Large-scale swarm rapid task assignment and online real-time path replanning (大规模集群快速任务分配与在线实时路径重规划)
     
Summary:    
This special session focuses on mission planning and cooperative control for unmanned swarm systems. Large‑scale unmanned swarms accomplish swarm operations including cooperative reconnaissance, patrol and strike through reasonable task assignment and conflict‑free optimal routes. Nevertheless, prominent challenges persist in this field: strong coupling between global task scheduling and local path optimization; trade‑offs among multiple optimization objectives such as time, energy consumption and payload; dynamic variations of mission targets and environmental obstacles; limited communication bandwidth and onboard computing power degrade the real‑time performance of planning algorithms. There is an urgent demand for integrated collaborative optimization methods for task assignment and path planning.
Original research contributions in relevant directions are warmly welcomed for this special session. The scope of submissions includes swarm dynamic modeling, multi‑constraint multi‑objective task assignment, heterogeneous swarm scheduling, cooperative obstacle‑avoidance path planning, joint task‑path optimization, distributed planning under communication constraints, online replanning, experimental verification, and more.
This special session aims to gather cutting‑edge research achievements, share innovative algorithms and engineering implementation schemes, and provide technical references for theoretical development and practical deployment of unmanned swarm cooperative mission systems.
     
本专场聚焦无人集群系统任务规划与协同控制。大规模无人集群依靠合理的任务分派与无冲突最优航路，完成协同侦察、巡逻、打击等集群作业任务。当前该领域仍存在突出难点：全局任务调度与局部路径优化强耦合；时间、能耗、载荷等多优化目标相互制衡；任务目标、环境障碍物动态变化；通信带宽与机载算力有限制约规划实时性，亟需任务分配与路径规划一体化协同优化方法。本专场诚邀相关方向原创研究成果，征稿范围包含集群动力学建模、多约束多目标任务分配、异构集群调度、协同避障路径规划、任务-路径联合优化、通信约束下分布式规划、在线重规划及试验验证等内容。专场旨在汇聚领域前沿研究成果，分享创新算法与工程实施方案，为无人集群协同任务系统的理论发展与实际落地提供技术参考。