Photograph your work area.
Train any Jetson robot in a virtual twin.

DULRobotics is the one-stop shop to train a variety of Jetson-based robots — and to learn how, in a virtual training environment. Snap a few photos of your space and a 3D-generator AI turns them into a virtual robot training center for your specific use case. Any robot that can run a Jetson module plugs into the same environment and robot-monitoring features. DULRobotics.com uses the new CUBELinux.com Database OS for all the heavy lifting.

The one-stop shop

No single use case. Pick the Jetson tier that fits, train the matching robot in a virtual twin of your own space, then deploy. The pipeline is the same for every platform.

• Photograph, don't model. Take a few photos of your work area; a 3D-generator AI builds the virtual robot training center for your use case — home, shop floor, warehouse, factory.
• One bot per Jetson tier. Nano, Orin Nano, Orin NX, AGX Orin, and AGX Thor each map to a bot — quadrupeds, humanoids, and edge platforms — all trained in the same virtual environment.
• Any Jetson robot works. If it runs a Jetson module, it can be integrated into DULRobotics' virtual training environment and robot monitoring.
• Monitor & learn. Built-in robot telemetry and fleet monitoring, with the guidance to learn how to train and deploy your bot.

The Jetson line, the bots, the use cases

• Jetson Nano → Hiwonder ROSPug quadruped — entry-level lightweight tasks.
• Jetson Orin Nano → Chuanglebo Orin Nano Super (8GB, 67 TOPS) — autonomous / edge development.
• Jetson Orin NX → Unitree Go2 quadruped (& Xiaomi CyberDog) — navigation, home & business.
• Jetson AGX Orin → Unitree B2 industrial quadruped — warehouse & industrial.
• Jetson AGX Thor → Alibaba quadruped + Unitree G1 humanoid — full training & inference, complex manipulation.

Who it's for

DULRobotics is written for three groups, and the portal is structured so each can jump straight to their lane:

• Developers and integrators. The SDK details, the Jetson setup (Nano → Thor), the photo-to-virtual-center pipeline, and the ROS / C++ / Python hooks to train a skill on your platform.
• Small businesses and makers. What a robot can actually do in your space — move, assemble, fabricate — and what it costs to start, with the hardware breakdown and task roadmap.
• Early adopters and collaborators. If the thesis — that the first trainable robots in a space will have an advantage as the ecosystem matures — is yours, this is the place to connect.

Why CUBELinux

Because the substrate is coordinate-addressed: each robot is its own space (a C coordinate), the virtual training center is another, and a Portal connects them. One address primitive means pushing a trained policy to a robot and pulling its telemetry back are the same put/get — symmetric, gated by capability, traversable by association. Behavior is a record you can replay. That is why DULRobotics is built on CUBELinux.

Where it stands

1. 01
   The hardware. The full Jetson line (Nano → Thor) with a matching bot per tier — the robots and modules listed above.
2. 02
   Compute paired. Nvidia Jetson — Nano, Orin Nano, Orin NX, AGX Orin, AGX Thor — as the brain for on-robot and simulation workloads.
3. 03
   Photo-to-3D training. A few photos of your work area become a virtual robot training center for your use case.
4. 04
   Virtual training + monitoring. Train a skill for any Jetson robot in the virtual twin, then deploy — with telemetry and fleet monitoring.
5. 05
   Scaling. More bots and more Jetson tiers slot into the same pipeline as your fleet grows — for any use case.

DULRobotics is not a product catalog. It is a one-stop shop — photograph a space, train any Jetson robot in the virtual twin, and deploy. And be early.