Grabette: an open system to record robot-manipulation data. And build a shared dataset, together.
Blog post from Hugging Face
Grabette is an innovative open-source system designed to simplify the process of recording robot-manipulation data by allowing individuals to use a handheld gripper, camera, and software to capture human demonstrations without the need for expensive or complex robotic setups. Developed by Pollen Robotics and inspired by Stanford's Universal Manipulation Interface, Grabette uses two cameras for capturing context-rich views and robust tracking, enabling users to easily record and process manipulation tasks into robot-ready datasets. The system aims to address the data bottleneck in robot learning by promoting a collaborative, open dataset that can be used to train various robotic systems, thereby reducing the dependency on costly teleoperation methods. Alongside its robotic counterpart, Gripette, Grabette supports diverse robot learning methods by storing demonstration data in a universally applicable format, facilitating a community-driven expansion of manipulation datasets. As a low-cost, accessible tool, Grabette encourages widespread participation in building a comprehensive dataset for advancing robotic learning, with future enhancements like the Casquette head-mounted device already in development.
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