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粒子滤波器
一种序列蒙特卡洛方法，用加权样本集（粒子）近似概率分布。每个粒子代表一个可能的系统状态；粒子通过动力学模型传播，并根据测量似然重新加权。粒子滤波器用于机器人定位（AMCL）、跟踪和非高斯状态估计。
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.
一种序列蒙特卡洛方法，用加权样本集（粒子）近似概率分布。每个粒子代表一个可能的系统状态；粒子通过动力学模型传播，并根据测量似然重新加权。粒子滤波器用于机器人定位（AMCL）、跟踪和非高斯状态估计。