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程序化生成
在训练时通过算法创建多样化的仿真环境、物体和场景，而不是手动设计每一个。程序化生成用于创建大规模训练数据集，包含多样的布局、物体几何形状、纹理和任务配置。它是应用于场景结构而非物理参数的域随机化形式。
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.
在训练时通过算法创建多样化的仿真环境、物体和场景，而不是手动设计每一个。程序化生成用于创建大规模训练数据集，包含多样的布局、物体几何形状、纹理和任务配置。它是应用于场景结构而非物理参数的域随机化形式。