Dream Labs

Control and guide physical robotic hardware through zero-shot commands and APIs

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You can use Dream Labs to control physical robot hardware and automate real-world manipulation tasks. The system provides Dream-1, a general robotic brain that operates across various robotic arms and bodies right out of the box. You can connect through an API to prompt robots in natural language, test commands in a web-based playground, or fine-tune models on your custom hardware using demonstration datasets. This allows you to deploy robotic systems into everyday environments without training new machine learning models from scratch.

What Dream Labs does

Prompt physical robots using natural language instructionsFine-tune pre-trained models with custom motion demonstrationsSend real-time robot control commands through the Python APITest manipulation routines in simulated environmentsConnect third-party robotic arms to cloud foundation modelsMonitor live robot execution feeds in real timeOperates across multiple different robotic arms and custom hardware embodimentsZero-shot execution for tasks and robot bodies the model has not seen beforeFine-tuning pipeline using only a few hundred real-world demonstrationsInteractive online playground to test and prompt live physical robots remotelyPython client library to send commands directly from existing software stacksPre-integrated support for low-cost robotic arms and the bimanual YAM robotSimulation environments to validate robot actions before physical deployment