AMRAgentic Agentic Hypervisor Core

AMRAgentic System Architecture

Agentic AI Core: AMR Agentic Navigation Core — VDA 5050 Task Translation, Spatial Path Planning & Fleet Collision Avoidance

Hypervisor Nodes & Execution Subsystems

• VDA 5050 Protocol Adapter & Action Mapper
• Time-Expanded Conflict-Based Search (CBS) Planner
• LiDAR / Vision SLAM Telemetry Ingress
• Dynamic Obstacle & Pedestrian Intent Estimator
• Hardware Emergency Brake Safety Arbiter

Architectural Layers & Ingress Bus

• Layer 1: Execution Sandboxing & Memory Ceilings (WebAssembly (WASI) / microVM / cgroups v2 / Seccomp Filters / Sub-Millisecond Cold Starts): Enforces strict memory allocation boundaries and process isolation for each autonomous agent thread.
• Layer 2: Protocol Engine & Tool Ingress (MCP) (Model Context Protocol (MCP) / JSON-RPC 2.0 / SSE / OpenAPI / Schema Sanitization): Routes tool requests, sanitizes input payloads, and enforces token rate-limits across connected enterprise services.
• Layer 3: Deterministic Scheduling & Multi-Agent Consensus (BFT Consensus / Dynamic DAG / Priority Queuing / Deadlock Prevention / Token Budgeting): Orchestrates collaborative agent task dependencies, prevents runaway recursion, and manages shared state synchronization.
• Layer 4: Constitutional Guardrails & Cryptographic Audit (Z3 SMT Invariant Provers / Merkle Audit Trails / Automated Circuit Breakers / W3C DIDs): Enforces hard mathematical safety boundaries, detects goal drift, and logs tamper-evident operational evidence.

Operational Benchmarks & Execution Ceilings: < 0.42 ms (Sandbox Cold Start) | < 3.5 ms (Execution Overhead) | 100.0% (Containment Efficacy) | 50,000/s (Concurrent Capacity)