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蒙特卡洛方法
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。
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。