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.
按顺序学习新任务而不遗忘先前学到的任务(也称为终身学习)。神经网络容易发生灾难性遗忘——更新新任务的权重会覆盖旧任务知识。方法包括:EWC(弹性权重整合)、渐进网络、记忆回放和模块化架构。对于随时间添加新任务的真实机器人部署至关重要。