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状态抽象
将完整的机器人和环境状态压缩为紧凑表示，保留与任务相关的信息，同时丢弃无关的细节。状态抽象降低了学习问题的维度，改进了泛化性能。学习到的状态抽象（来自自编码器或对比方法）优于手工设计的抽象。
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.
将完整的机器人和环境状态压缩为紧凑表示，保留与任务相关的信息，同时丢弃无关的细节。状态抽象降低了学习问题的维度，改进了泛化性能。学习到的状态抽象（来自自编码器或对比方法）优于手工设计的抽象。