# Wano Robotics — Wano Studio

> Design. Simulate. Train. Deploy. A local-first studio for teams building physical AI and robot learning workflows.

Wano Studio brings robotics development into one local-first workspace: design a scene, choose a robot, define its task, review demonstrations and prepare training. Wano Framework connects that workflow through a declarative blueprint, with simulation targets and ROS 2 deployment tooling. Spend less effort connecting separate tools and more effort developing the skill your robot needs.

For robotics engineers, research labs, ROS 2 developers and machine-learning teams who want a coherent path from a scene and a task to reusable robot-learning assets.

Why Wano:
- Keep control of your work: the local-first workflow keeps scenes, datasets and model weights on your own machine.
- Build from one source: a declarative blueprint connects the scene, robot and task instead of requiring separate descriptions for every tool.
- Work with your robotics ecosystem: Isaac Lab, MuJoCo, Gazebo and Webots are simulation targets, alongside browser physics with MuJoCo WASM and Rapier.
- Keep your outputs usable: generated code and standard dataset formats reduce dependence on a single application.
- Bring AI agents into the workflow: MCP tools expose studio operations, with a Guard Engine validating actions before they are applied.

Availability: Early access is planned for Q4 2026, in small cohorts. The roadmap marks the web studio, 3D scene editor, Isaac Sim streaming and Wano Framework as shipped. Multi-simulator end-to-end workflows, dataset tooling and GPU fine-tuning are in progress. The eight-chapter photo/video journey illustrates the product vision; it is not a claim that every illustrated capability is available today. Managed cloud GPUs and VR teleoperation are planned.

## Product and access

- [Product guide in Markdown](https://wanorobotics.com/index.md): The studio, its benefits, the eight-chapter vision and answers to practical questions.
- [Wano Studio](https://wanorobotics.com/#workflow): The six-step interface, from scene building to training monitoring.
- [Wano Framework](https://wanorobotics.com/#framework): One declarative blueprint, simulator targets and agent tools.
- [Roadmap and availability](https://wanorobotics.com/#roadmap): Shipped, in-progress and planned capabilities.
- [Early-access waitlist](https://wanorobotics.com/#access): Register interest in the Q4 2026 cohorts.

## The robot-learning journey — product vision

- [Photo to 3D scene](https://wanorobotics.com/#photo-to-scene): Desk photograph → Editable 3D blueprint.
- [Synthetic teleoperation](https://wanorobotics.com/#synthetic-teleoperation): Human demonstration video → Robot motion in simulation.
- [One scene. Many variations.](https://wanorobotics.com/#scene-variants): One reconstructed demonstration → Task-preserving variants.
- [Parallel simulation](https://wanorobotics.com/#parallel-simulation): Blueprints + GPU compute → Parallel simulation episodes.
- [Synthetic datasets](https://wanorobotics.com/#synthetic-datasets): Simulation recordings → Curated synthetic dataset.
- [Train the VLA](https://wanorobotics.com/#vla-training): Dataset + pretrained VLA → Task-adapted model weights.
- [Validate the skill](https://wanorobotics.com/#policy-validation): Adapted policy + unseen scenes → Evaluated robot behaviour.
- [Deploy to the real world](https://wanorobotics.com/#real-world-deployment): Validated skill + task instruction → Real-world robot action.

## Practical questions

- [Frequently asked questions](https://wanorobotics.com/#faq): Simulator requirements, local data, robot compatibility, output ownership and access.