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零样本泛化
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。
Open 7-DoF arm, bimanual-ready. Ships from San Francisco with pilot data-collection packages from $2,500.
90+ platforms — humanoids, arms, quadrupeds, dexterous hands, and teleoperation kits. In-stock hardware ships in 48 hours.
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.
Low-latency data-collection glove for dexterous manipulation. From $5,500, ships from San Francisco.
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。