Grabette: an open system to record robot-manipulation data

Hugging Face convert raw Grabette recordings to LeRobot dataset The bottleneck isn’t the model. It’s the data.

Standing on the shoulders of UMI Meet Grabette Built for everyone From your hand to a dataset, in two steps 1. Record 2. Process, directly in your browser What can you do with the data? Here’s one example. Now it's your turn What's next Record your own manipulation tasks in minutes with a handheld gripper, turn them into robot-ready datasets automatically, and help grow an open, collaborative dataset for robot learning. The bottleneck isn’t the model. It’s the data. Robot learning has a supply problem. We have capable policy architectures (transformer-based VLAs, diffusion and flow-matching policies, and even world models) and the GPUs to train them. What we lack is large, diverse, real-world manipulation data. Teleoperating a robot to collect it can be expensive and demanding: first of all, it requires a robot. And depending on the teleoperation method, data collection can be tedious for the user if it takes hours and involve significant hardware and logistical challenges. That is difficult to scale with the wide variety of tasks and environnements required. But you don’t need a robot to collect robot data. Just a human hand, a gripper, a camera, and a way to recover the 6-DoF trajectory of what the hand did.