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神经过程
一个元学习模型，学习以上下文点（观测的输入-输出对）为条件的函数分布，实现对新任务的快速适应。神经过程结合了神经网络的表示能力和高斯过程的灵活性。在机器人学中，NP使得操纵策略能够从少数新演示进行少样本适应。
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.
一个元学习模型，学习以上下文点（观测的输入-输出对）为条件的函数分布，实现对新任务的快速适应。神经过程结合了神经网络的表示能力和高斯过程的灵活性。在机器人学中，NP使得操纵策略能够从少数新演示进行少样本适应。