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.
一种针对昂贵黑盒函数的顺序优化策略，通过构建目标函数的概率代理模型（高斯过程），然后通过最大化采集函数（EI、UCB）来选择下一个评估点。在机器人学中，贝叶斯优化用于以最少的评估次数调整控制器增益、奖励函数参数和超参数。
