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ARC BRIDGE

Connect the model
to the robot.

Connect a trained model to a robot’s sensors and controls. Create custom drivers on the fly to connect hardware with other hardware or software. Format camera images and robot state for the model, translate its outputs into robot commands, and package the integration for deployment.

Talk about Bridge How it works

AUTONA ROBOT CLOUD / MODEL-TO-ROBOT INTEGRATION

ARC / BRIDGEMODEL-TO-ROBOT INTEGRATION
ONE CONNECTED ROBOT CLOUDSYSTEM WORKFLOW
START WITH
Trained model, Forge robot definition, robot control API
WORK TOWARD
Model, hardware adapter, and runtime settings in one deployment bundle
BUILT FOR
Hardware and integration teams
INSIDE ARC BRIDGE

Map the model to the machine.

Connect sensor readings to model inputs and model outputs to robot commands. Package the adapter, model, and runtime settings together.

ARC Bridge interface preview. Connect sensor readings to model inputs and model outputs to robot commands. Package the adapter, model, and runtime settings together.

Translate inputs.
Map commands.

A model and a robot may use different image formats, joint orders, units, or update rates. Forge describes the robot’s interface; Bridge implements the translation and packages it for ARC Ness to run.

  1. Prepare model inputs

    Connect camera images, joint positions, and other readings to the model’s expected input format.

  2. Map actions to controls

    Convert model outputs into commands the robot accepts. Check joint ordering, units, ranges, and update rates against the Forge definition.

  3. Package for the runtime

    Bundle the model, adapter, robot definition, runtime settings, and Gauntlet evaluation results for execution in ARC Ness.

Connect your model to your robot.

Tell us about your robot, your team, and the problem you want to solve.

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