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张量分解
将多维数组（张量）分解为更简单的分量（CP、Tucker 或张量列车分解）。在机器人学中，张量分解用于：压缩大型神经网络权重张量以进行边缘部署、分析多模态传感器数据以及高效计算机器人动力学量。
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.
将多维数组（张量）分解为更简单的分量（CP、Tucker 或张量列车分解）。在机器人学中，张量分解用于：压缩大型神经网络权重张量以进行边缘部署、分析多模态传感器数据以及高效计算机器人动力学量。