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归一化流
一种生成模型，通过一系列可逆变换将简单的基础分布转换为复杂的目标分布。归一化流支持精确的密度评估和高效采样。在机器人学习中，它们用于建模多模态动作分布，作为扩散模型的替代方案，具有单次生成的优势。
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.
一种生成模型，通过一系列可逆变换将简单的基础分布转换为复杂的目标分布。归一化流支持精确的密度评估和高效采样。在机器人学习中，它们用于建模多模态动作分布，作为扩散模型的替代方案，具有单次生成的优势。