泛化能力
控制策略在训练中未见过的输入上正确执行的能力:新物体、环境、光照条件或任务变化。泛化能力是机器人学习的核心挑战——策略容易过拟合到训练条件。改进泛化能力的技术包括数据增强、域随机化、预训练表示和多样化训练数据。

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.
控制策略在训练中未见过的输入上正确执行的能力:新物体、环境、光照条件或任务变化。泛化能力是机器人学习的核心挑战——策略容易过拟合到训练条件。改进泛化能力的技术包括数据增强、域随机化、预训练表示和多样化训练数据。
