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.
一种神经网络，训练用于将输入数据压缩为低维潜在表示（编码器），并从该表示重构原始数据（解码器）。变分自编码器（VAE）为潜在空间添加概率结构。在机器人学中，自编码器从高维观测中学习紧凑的状态表示，用于高效的控制策略学习。
