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.
控制策略在训练中从未见过的任务或物体上成功执行的能力，无需任何适应或微调。零样本泛化是通用机器人学习的终极目标。在互联网规模数据和多样化机器人数据集上预训练的 VLA 模型展现出越来越强的零样本能力，但可靠性仍然是一个挑战。
