反自主集群防御对抗体系与动能区域防空拒止

针对敌方无人机群、无人地面战车群对要地设施实施的饱和式突防饱和攻击，通过高精度射频侦测融合、AI 视觉多目标轨迹预测与微秒级定向软硬双重杀伤拦截实施立体化安全防护。

AttackSwarm Swarm & Navigation Architecture

Robotics Core: Swarm Countermeasure Hub — Adversarial Kinetic Interceptor

Autonomous Robotics Nodes & SLAM Controllers

  • RF Interception Sensor
  • Directed Energy / Net Gun
  • Target Triangulation
  • Microsecond Track Emitter
  • Counter-Swarm Mesh

Architectural Layers & Navigation Stacks

  • 第一层：感知与实时建图定位（SLAM）子系统 (3D LiDAR / RealSense RGB-D / Fast-LIO2 / Cartographer): High-frequency point cloud acquisition, IMU tightly-coupled pre-integration, and sub-centimeter real-time localization in dynamic environments.
  • 第二层：局部导航与模型预测控制（MPC）执行引擎 (TEB Local Planner / Timed-Elastic Band / Pure Pursuit): Real-time obstacle evasion, non-holonomic kinematic trajectory optimization, and dynamic ISO 3691-4 safety field switching.
  • 第三层：跨品牌互操作协议、实时中间件与车队总线 (VDA 5050 v2.1 / ROS 2 Jazzy / Eclipse Zenoh / CycloneDDS): Standardized JSON/MQTT order ingestion, zero-copy intra-node IPC, and deterministic low-latency state reporting across multi-vendor fleets.
  • 第四层：集群协同调度、无冲突路径规划与交通优化 (Conflict-Based Search (CBS-MAPF) / Dynamic Block Reservation): Centralized or decentralized conflict-free multi-agent path finding, automated opportunity battery charging, and bottleneck mitigation.

Telemetry & Compliance: ±5 mm (重定位精度) | <8 ms (调度响应时延) | <12 ms (安全刹停响应时间) | VDA 5050 v2.1 (开放车队协议标准)

AttackSwarm 中的自主导航与分布式协同

现代自主工业设施要求确定性实时控制、稳健的安全边界与厂商无关的车队编排。AttackSwarm 将硬件传感器集成、SLAM算法与分布式通信正式规范化，确保零碰撞运行与最大运营可用性。

Core Engineering Areas

Technical Publications

Related Cluster Architecture Specifications