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.
梯度下降用于更新模型参数的步长。过高会导致发散；过低会导致收敛缓慢。学习率调度（预热 + 衰减）对稳定训练至关重要。典型初始学习率：微调预训练模型为 1e-4，从零开始用 Adam 训练为 3e-4。学习率通常是最重要的超参数。
