返回Glossary
过拟合
模型在训练数据上表现良好，但在未见数据上表现不佳，因为它记住了训练特定的模式而非学习可泛化的特征。过拟合是机器人学习中的关键问题，因为数据集通常很小。对抗措施包括数据增强、Dropout、权重衰减、早停和使用预训练编码器。
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.
模型在训练数据上表现良好，但在未见数据上表现不佳，因为它记住了训练特定的模式而非学习可泛化的特征。过拟合是机器人学习中的关键问题，因为数据集通常很小。对抗措施包括数据增强、Dropout、权重衰减、早停和使用预训练编码器。