NVIDIA GR00T Researcher Launches Startup, Raises $90 Million to Debut Cross-Model Robot AI
58 minutes ago
Beating AI News Flash: Dream Labs, founded by four former NVIDIA GR00T researchers, announced it has closed a $90 million seed round and opened the API for its Dream-1 robot model. Developers only need to input the robot’s camera feed, current status, and task instructions, and the model will generate robotic arm movements. The standard version costs $3 per hour, while the lightweight version is $2 per hour. In the past, switching to a new robot often required re-collecting data and adapting the model. In February this year, the team’s earlier model DreamZero (launched by NVIDIA) needed 30 minutes of data from the target robot for additional training; Dream-1 eliminates this step. It uses a world action model to learn the relationship between video and actions, predicts where the gripper should move, and then executes the movement via the robot’s own control program. The team tested 27 robots in a simulation environment that were not included in the training data, including the 2008-launched PR2. Test partners from 8 countries also demonstrated real-world tasks such as stacking cups, folding cartons, and pulling paper towels. However, Dream-1 currently primarily supports dual-arm robots equipped with parallel grippers. In real-world tests by third-party firm Robocurve, Dream-1 achieved an average task progress score of 59.3%, outperforming Google Gemini 4 Argon’s 48.2%. The estimated model cost per single attempt is just $0.15, roughly 1/16 of Gemini 4 Argon’s cost. That said, 400 additional tests released by Dream Labs show the full success rate for pick-and-place tasks is only 40%, and for tool use it is as low as 6%. The model remains in the research and testing phase and has not been validated for safety-critical scenarios.
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