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.
操纵在施加力的作用下会改变形状的物体：布料、绳索、食品、袋子、软玩具。可变形物体违反了大多数抓取规划和运动规划算法所基于的刚体假设。基于仿真的方法（使用有限元法或基于位置的动力学）和基于学习的方法是两个主要研究方向。
