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.
一类使用随机采样获得数值结果的计算算法,通常用于概率估计或优化。在机器人学中:蒙特卡洛定位(粒子滤波)估计机器人位姿;蒙特卡洛树搜索在随机环境中规划;MC rollout在策略优化中估计期望回报。