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迭代学习控制
一种控制方法，通过使用先前试验的误差来更新前馈控制信号，在相同任务的重复执行中改进跟踪性能。ILC 理想用于重复工业任务（焊接、喷涂），其中相同轨迹被执行数千次。它在没有精确动力学模型的情况下实现近乎完美的跟踪。
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.
一种控制方法，通过使用先前试验的误差来更新前馈控制信号，在相同任务的重复执行中改进跟踪性能。ILC 理想用于重复工业任务（焊接、喷涂），其中相同轨迹被执行数千次。它在没有精确动力学模型的情况下实现近乎完美的跟踪。