Typ-1 Embedded-Hypervisoren & Mixed-Criticality-Systeme
Stellt sicher, dass selbst bei einem vollständigen Absturz des Linux/ROS 2-Systems durch KI-Lasten die funktionale Notbremsung nach ISO 13849 PL-d auf einem isolierten Kern verzögerungsfrei weiterläuft.
RoboticsHypervisor Swarm & Navigation Architecture
Robotics Core: Robotics Hypervisor Core — Mixed-Criticality Type-1 Hypervisor
Autonomous Robotics Nodes & SLAM Controllers
- RTOS Safety Domain (SIL 3)
- Linux / ROS 2 AI Domain
- Hardware IOMMU Partition
- Shared-Memory Zero-Copy Ring
- Safety Watchdog & Reset
Architectural Layers & Navigation Stacks
- Schicht 1: Wahrnehmungs- und SLAM-Subsystem (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.
- Schicht 2: Lokale Navigation & Modellpraediktive Regelung (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.
- Schicht 3: Interoperabilitaet, Middleware & Flottenbus (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.
- Schicht 4: Schwarm-Orchestrierung & Verkehrsoptimierung (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 (Positioniergenauigkeit) | <8 ms (Flottendispatch-Latenz) | <12 ms (Sicherheits-Stoppreaktionszeit) | VDA 5050 v2.1 (Offener Flottenstandard)
Autonome Navigation und Verteilte Koordination in RoboticsHypervisor
Moderne autonome Industrieanlagen erfordern deterministische Echtzeitsteuerung, robuste Sicherheitshüllen und herstellerunabhängige Flottenorchestrierung. RoboticsHypervisor formalisiert die Integration von Hardwaresensoren, SLAM-Algorithmen und verteilte Kommunikation, um kollisionsfreien Betrieb und maximale betriebliche Verfügbarkeit zu gewährleisten.
Core Engineering Areas
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