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.
使用16位（FP16或BF16）和32位（FP32）浮点算术混合训练神经网络，以减少内存使用和增加吞吐量，同时保持训练稳定性。混合精度是在GPU上训练大型机器人学习模型的标准做法——相比完整FP32训练，内存消耗减半，吞吐量翻倍。
