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.
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。
