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.
一种目标条件强化学习的数据增强技术,将失败的轨迹重新标记为实际到达的状态作为目标。如果机器人试图将物块放在位置 A 但到达位置 B,HER 会创建额外的训练样本,其中 B 是目标,轨迹是成功的。这大大提高了稀疏奖励目标到达任务的样本效率。