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因果推理机器人学
将因果推理应用于机器人学习：识别观察与结果之间的因果关系（而非相关性）。因果推理帮助机器人通过学习因果结构（例如，物体颜色影响可见性但不影响可抓取性）来泛化到新环境。方法包括因果发现、do-演算和反事实推理。
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.
将因果推理应用于机器人学习：识别观察与结果之间的因果关系（而非相关性）。因果推理帮助机器人通过学习因果结构（例如，物体颜色影响可见性但不影响可抓取性）来泛化到新环境。方法包括因果发现、do-演算和反事实推理。