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多层感知器
多层感知器——由具有非线性激活的全连接层组成的前馈神经网络。MLP是最简单的深度学习架构，作为更大模型中的构建块。在机器人学习中，MLP头将学习的表示映射到动作输出，小型MLP用作低维状态空间的策略网络。
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.
多层感知器——由具有非线性激活的全连接层组成的前馈神经网络。MLP是最简单的深度学习架构，作为更大模型中的构建块。在机器人学习中，MLP头将学习的表示映射到动作输出，小型MLP用作低维状态空间的策略网络。