ARVS: Adaptive Robust Verification System

ARVS v1.0.0 — Initial Release

Adaptive Robust Verification System — A research-grade autonomy architecture for spacecraft, rovers, and safety-critical autonomous systems.

🔬 What is ARVS?

ARVS is a full-stack autonomy framework built for environments where failure is not an option — planetary rovers, orbital spacecraft, and multi-robot systems. It implements a five-stage pipeline:

Sense → Think → Verify → Optimise → Enforce

Every stage is formally grounded: Bayesian state estimation, a frozen axiom constitution, QUBO-based optimization, and a sub-millisecond C++ safety gate.

✨ Key Features

• 25-Axiom Frozen Constitution — Immutable safety axioms enforced identically in both Python and C++, with a SHA-256 cryptographic audit chain
• 8-Dimensional Risk Quantifier — Risk is embedded directly into the MDP reward function: R(s,a) = gain − λ·risk − μ·energy
• ±15% Bounded Adaptive Learning — Parameters cannot drift beyond safe bounds per cycle; risk_penalty is floor-guarded by Axiom L1
• Real-Time C++ Enforcement — Zero-heap hot path, fixed-size arrays, SCHED_FIFO watchdog, latching emergency stop, full ROS2 node wrappers
• Quantum-Ready Optimization — QUBO solver targeting D-Wave Leap with automatic Tabu fallback
• Multi-Source Telemetry — Live loaders for NASA REMS (Mars weather), SPICE (orbital mechanics), ESA Mars Express, and ISS OSDR
• 4 Validated Scenarios — Normal ops, fault injection (1.8× torque spike), communication blackout (300s), and axiom cascade → safe hold
• 69-Test CI Suite — Full simulation test coverage with forensic JSON audit trails

📦 What's Included

🛰️ Tested Against Real Space Telemetry

Validated across 16 runs (4 scenarios × 4 data sources) using actual NASA and ESA mission data as input.

Author: Chirag Rathi — Independent Researcher ORCID: 0009-0008-1682-4369 License: Apache-2.0