• Fundamental Theories of Embodied Cognition for Unmanned Systems (无人系统具身认知基础理论)
• Embodied Interaction and Learning for Unmanned Systems (无人系统具身交互与学习)
• Multi-modal Perception Fusion and Localization Evaluation for Unmanned Systems (无人系统多元感知融合与定位)
• Spectrum Resource Management and Control for Unmanned Systems (无人系统频谱资源管控)
• Anti-jamming and Resilient Networking in Complex Electromagnetic Environments (复杂电磁环境下的通信抗干扰与韧性组网)
• High-Dynamic Self-Organizing Network Technologies for Unmanned Swarms (高动态无人集群自组网技术)
• Cross-Domain Resource Optimization and Scheduling for Unmanned Systems (无人系统资源优化调度)
• Cooperative Task Allocation for Unmanned Swarms (无人集群协同任务分配)
• Intelligent Cooperative Adversarial Technologies for Unmanned Swarms (无人集群智能协同对抗)
• Distributed Cooperative Control and Swarm Intelligence Technologies (分布式协同控制与群体智能技术)

With the evolution of unmanned systems from single-platform standalone operation to large-scale autonomous swarm collaboration, individual embodied cognitive capability, swarm cooperative decision-making and control capacity, and communication network support capability​have emerged as core bottlenecks restricting their deployment in complex real-world scenarios. Leveraging distinct advantages including flexible deployment, full-domain coverage, and dynamic reconfiguration, unmanned swarms have become a frontier hotspot in the field of autonomous intelligence. However, they still face multidimensional strongly coupled challenges: insufficient adaptability of individual autonomous platforms, time-varying swarm network topologies, scarce spectrum resources, complex electromagnetic interference, and high uncertainty in adversarial environments. A critical scientific problem requiring urgent resolution is how to realize efficient sharing of individual cognitive information, global optimality of cooperative decision-making, and dynamic adaptation of network resources under complex interference and dynamic constraints.

This session solicits original, unpublished manuscripts covering topics spanning embodied intelligence for unmanned systems, multi-modal perception fusion and localization, spectrum resource management and control, communication anti-jamming technologies, unmanned swarm self-organizing network technologies, and distributed cooperative control and swarm intelligence. It aims to bring together cutting-edge research achievements in individual unmanned system intelligence and swarm collaborative technologies, providing a dedicated academic exchange platform to address the aforementioned challenges.

随着无人系统从单平台独立作业向大规模集群自主协同演进，单体具身认知能力、群体协同决策控制能力与通信网络支撑能力已成为制约其在复杂场景落地的核心瓶颈。当前无人集群凭借灵活部署、全域覆盖、动态重构的显著优势，已成为自主智能领域的前沿热点，但仍面临多维度强耦合难题：单体自主适应性不足、集群拓扑动态变化、频谱资源受限、电磁干扰复杂与对抗环境不确定等挑战。如何在复杂干扰与动态约束条件下，实现单体认知的高效共享、协同决策的全局最优与网络资源的动态适配是亟需解决的关键问题。

本专场诚邀原创稿件，主题涵盖无人系统具身智能、多元感知融合与定位、频谱资源管控、通信抗干扰、集群自组网、分布式协同控制与群体智能等方向。旨在汇聚无人系统单体智能与集群协同领域前沿研究成果，为破解上述难题提供学术交流平台。