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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, with pilot data-collection packages.
90+ platforms — humanoids, arms, quadrupeds, dexterous hands, and teleoperation kits. Lead time shown on each product.
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.
Specifications and integration guide for the tactile and pose-tracking data glove.
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。