Open 7-DoF arm, bimanual-ready. Ships from San Francisco with pilot data-collection packages from $2,500.
90+ platforms — humanoids, arms, quadrupeds, dexterous hands, and teleoperation kits. In-stock hardware ships in 48 hours.
Hardware-synced demonstrations for VLA and imitation learning. Download in LeRobot, HDF5, or RLDS format.
From first arm on the bench to a policy that survives a real workcell — the Robotics Center pipeline in three steps.
Low-latency data-collection glove for dexterous manipulation. From $5,500, ships from San Francisco.
Unbox, calibrate, and run your first autonomous walk. Includes ROS 2 bringup and teleop quickstart.
通过应用保持标签有效性的变换来人工扩展机器人数据集：图像增强（裁剪、颜色抖动、模糊）、本体感觉噪声注入、动作扰动和视点合成。数据增强对样本高效的机器人学习至关重要——仅随机裁剪增强就可以使有效数据集大小翻倍，显著改善策略泛化。
