返回Glossary
奖励工程
设计标量奖励函数的过程，该函数编码强化学习训练中所需的机器人行为。好的奖励工程提供密集反馈来指导学习，而不引入意外的捷径。常见陷阱：奖励黑客（优化奖励代理而非预期行为）和稀疏奖励（学习信号过于稀少）。
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.
设计标量奖励函数的过程，该函数编码强化学习训练中所需的机器人行为。好的奖励工程提供密集反馈来指导学习，而不引入意外的捷径。常见陷阱：奖励黑客（优化奖励代理而非预期行为）和稀疏奖励（学习信号过于稀少）。