Open 7-DoF arm, bimanual-ready, with pilot data-collection packages.
90+ platforms — humanoids, arms, quadrupeds, dexterous hands, and teleoperation kits. Lead time shown on each product.
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.
Specifications and integration guide for the tactile and pose-tracking data glove.
Unbox, calibrate, and run your first autonomous walk. Includes ROS 2 bringup and teleop quickstart.
仅在任务完成时（成功/失败）提供信号的奖励函数，中间步骤的奖励为零。稀疏奖励是最自然的规范（二元成功），但对强化学习来说最难学习——智能体必须通过随机探索发现成功行为。HER、课程学习和奖励塑形可以解决稀疏奖励学习问题。
