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.
机器人控制策略在面对外部扰动（推动、意外接触、风）、传感器噪声和执行器扰动时保持任务成功完成的能力。鲁棒性可通过以下方式改进：域随机化（在多样化动力学上训练）、对抗训练和不确定性感知策略。这是实际部署的前提条件。
