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.
特征金字塔网络——一种多尺度特征提取架构，在不同分辨率下构建特征图金字塔，能够检测多个尺度的对象。FPN是现代目标检测器（Faster R-CNN、RetinaNet）的标准组件，用于机器人感知中检测杂乱场景中不同大小的对象。
