Technology
A world model, placed by latency, bounded by safety.
How PALVO detects what has never been catalogued, coordinates many channels in real time, and keeps a deterministic safety floor beneath everything the AI does.
World-Model Deviation Detection
Don't enumerate defects. Model normal, and flag deviation.
Class-enumerative detectors (CNN/YOLO) can only find what they were trained to name. On a runway or a production line, the object that matters is often the one nobody catalogued.
PALVO builds a predictive world model of the scene and flags anything that deviates from it — class-agnostic, open-set, and robust to genuinely novel objects.
Class-enumerative CNN / YOLO
- Only finds pre-trained classes
- Novel objects slip through
PALVO world model
- Models the expected scene
- Flags any deviation — open-set
Sensor Fusion
Many modalities, one structured world state.
No single sensor sees everything. PALVO fuses complementary modalities into a single, time-aligned representation the world model and policy reason over.
All-weather range and motion, even in low visibility
High-resolution appearance and classification
Thermal contrast for objects and hazards
3D geometry feeding a vision-language-action policy
Safety Architecture
A deterministic safety partition, independent of the AI.
Autonomy is only deployable if there is a floor beneath it that never depends on a model being right. PALVO separates the two.
AI-independent interlocks
Deterministic collision avoidance and safety interlocks run below the learned policy — a reflex overrides a plan.
Subsumption hierarchy
Faster, lower tiers can always veto slower, higher ones on safety grounds.
Fail-safe on comms loss
Reflex and coordination stay operational with no dependence on a remote loop.
Data & Digital Twin
Every action, fully recorded and explainable.
For regulated operations, an autonomous decision has to be auditable. PALVO writes a complete record for every item it acts on.
Standards & Compliance
Built to the baseline evaluators trust.
PALVO's airfield work is architected around established airport-safety and FOD-detection standards.
How PALVO Compares
FOD systems, by capability
| System | Detect | Autonomous removal | World model | Fleet coordination |
|---|---|---|---|---|
| Tarsier | Yes | No | No | No |
| FODetect | Yes | No | No | No |
| iFerret | Yes | No | No | No |
| FODRo | Yes | Yes | No | No |
| Airtrek | Yes | Yes | No | No |
| PALVO FOD AGV | Yes | Yes | Yes | Yes |
Want the technical detail?
We're happy to walk your engineering team through the architecture and share a technical brief under NDA.