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抓取可供性
物体的一种属性，使其能够被抓取——其把手、边缘、平面和其他支持稳定接触的几何特征。从点云或图像中检测抓取可供性可以预测夹爪应该在何处以及如何接触。神经可供性模型学会预测抓取区域，无需显式的几何分析。
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.
物体的一种属性，使其能够被抓取——其把手、边缘、平面和其他支持稳定接触的几何特征。从点云或图像中检测抓取可供性可以预测夹爪应该在何处以及如何接触。神经可供性模型学会预测抓取区域，无需显式的几何分析。