# Overview

Konnex subnets compete on **control and perception policies** for physical tasks, not on unconstrained chat. The documentation in this section describes **VLA (vision–language–action)** and related models that teams integrate behind subnet-specific interfaces.

## How models connect to the network

1. **Task** — A user or operator issues an instruction (natural language or schema-defined) for a [workload class](https://github.com/konnex-world/konnex-docs/blob/master/docs/subnets/README.md).
2. **Miners** — Propose trajectories, policies, or reconstructions; attach whatever the subnet API requires.
3. **Validators** — Run subnet scoring (simulation, sensor checks, ground-truth comparison) and emit results that end up in [Proof-of-Physical-Work](/understand-konnex/contracts-and-popw.md) records.

## Pages in this section

### Manipulation & VLA

* [Roboarm VLA subnet](/subnets-workload-classes/roboarm-vla.md) — workload page
* [OpenVLA](/supported-ai-models/openvla.md)
* [OpenVLA · OFT](/supported-ai-models/openvla-oft.md)
* [PI-0](/supported-ai-models/pi0.md)
* [PI-0.5](/supported-ai-models/pi05.md)

### Aerial (drone navigation)

* [Drone navigation subnet](/subnets-workload-classes/drone-navigation.md) — workload page
* [OpenFly & OpenFly-Agent](/supported-ai-models/openfly.md) — aerial vision–language navigation

### SLAM 3D map

* [SLAM 3D map subnet](/subnets-workload-classes/slam-3d-map.md) — workload page
* [ORB-SLAM3 & RTAB-Map](/supported-ai-models/orb-slam3.md) — visual SLAM and dense mapping stacks

### Infrastructure

* [AI verifier (scoring)](/supported-ai-models/verifier.md)
* [AI fetch interface](/supported-ai-models/fetch_interface.md)

For broader network context, see the [decentralized AI ecosystem](/understand-konnex/ai-ecosystem.md).


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