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.
一种训练范式，其中智能体通过与自身副本竞争或协作来改进，通过自身交互生成训练数据。在机器人学中，自我对弈用于多智能体任务（竞争性对象操纵、对抗鲁棒性）和生成多样化的行为策略。由于训练对手不断改进，智能体学习到鲁棒的控制策略。
