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.
达到给定性能水平所需的数据量(环境交互、演示或训练样本)。样本高效的算法能从更少的数据中更快地学习。在机器人学中,样本效率至关重要,因为真实世界数据收集成本高且速度慢。离线强化学习、基于模型的强化学习、数据增强和预训练都能提高样本效率。