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推动操作
通过推动而非抓取来移动物体——当物体太大、太平或太重而无法抓取时很有用。推动操作本质上是非夹持的，需要考虑摩擦、接触力学和物体动力学。解析模型（准静态推动）和基于学习的方法（推向目标强化学习）都是活跃的研究领域。
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.
通过推动而非抓取来移动物体——当物体太大、太平或太重而无法抓取时很有用。推动操作本质上是非夹持的，需要考虑摩擦、接触力学和物体动力学。解析模型（准静态推动）和基于学习的方法（推向目标强化学习）都是活跃的研究领域。