ACT-1: A Robot Foundation Model Trained on Zero Robot Data | Sunday | The helpful robotics company
We present a step-change in robotic AI: solving ultra long-horizon tasks, generalizing room-scale mobile manipulation to new environments, and advancing the dexterity frontier, all without a single trajectory of teleoperation data. Sunday’s mission is simple: Put a robot in every home. This is an exciting future—one that returns time to people for family, friends, and the passions they love. Since day one, we have been driven by a single question: How do we accelerate this future 10× or even 100× faster? As a full-stack company, we can identify bottlenecks across the entire system. We know that performance is always constrained by the weakest link. While many in robotics debate whether that link is hardware, compute, or funding, we believe there is only one definitive answer: data. Large Language Models (LLMs) thrive because they ingest the entire internet; robotics has no equivalent—no internet-scale corpus of real-world manipulation data. How do we bridge this gap? The standard appro
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