Contre-Mesures pour Essaims Autonomes et Déni Cinétique

Protège les installations critiques contre la saturation par essaims hostiles via la fusion de capteurs RF, l'IA optique de poursuite et la neutralisation précise.

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

Couche 1: Sous-système de perception et SLAM (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.
Couche 2: Navigation locale et contrôle prédictif (MPC) (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.
Couche 3: Interopérabilité, middleware et bus de flotte (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.
Couche 4: Orchestration d essaim et optimisation du trafic (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 (Précision de positionnement) | <8 ms (Latence de répartition) | <12 ms (Temps d arrêt de sécurité) | VDA 5050 v2.1 (Standard ouvert de flotte)

Navigation Autonome et Coordination Distribuée dans AttackSwarm

Les installations industrielles autonomes modernes exigent un contrôle déterministe en temps réel, des enveloppes de sécurité robustes et une orchestration de flotte indépendante du fournisseur. AttackSwarm formalise l'intégration des capteurs matériels, les algorithmes SLAM et la communication distribuée pour garantir un fonctionnement sans collision et une disponibilité opérationnelle maximale.

Core Engineering Areas

Kinetic and Non-Kinetic Interception Trajectories for Counter-Swarm Ops — Comprehensive engineering analysis of Kinetic and Non-Kinetic Interception Trajectories for Counter-Swarm Ops, detailing implementation considerations and operational guarantees.
Adversarial Machine Learning: Defeating Spoofed Swarm Sensors — Technical specification covering Adversarial Machine Learning: Defeating Spoofed Swarm Sensors and its integration into industrial autonomous mobility architectures.
High-Speed Pursuit-Evasion Differential Games in Confined Arenas — Deep technical exploration of High-Speed Pursuit-Evasion Differential Games in Confined Arenas addressing regulatory compliance, kinematics, and software architecture.

Technical Publications

Related Cluster Architecture Specifications

AMRAgent — Agentic Autonomous Mobile Robots, Edge Mission Planning & Behavioral Trees
AGVSwarm — Automated Guided Vehicle Swarm Logistics, Block-Zone Dispatch & Traffic Control
AGVSync — VDA 5050 Fleet Protocol, Time-Triggered Dispatch & Multi-Vendor Interoperability
AMRSwarm — Decentralized Swarm Intelligence, Spatial Self-Organization & Consensus Navigation