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.
训练单个模型同时解决多个任务，跨任务共享表示。在机器人学习中，多任务模型学习共同的视觉编码器和任务特定的头部，或使用任务嵌入来条件化共享策略。优势包括改进的数据效率（任务共享有用特征）和部署简洁性（一个模型服务多个任务）。
