His lab’s latest effort is a humanoid called CHARLI, for Cognitive Humanoid Autonomous Robot with Learning Intelligence.
最近，他的实验室发明了一种在信息掌握和理解方面具有人性化特征的机器人，叫做“CHARLI”，是根据 “Cognitive Humanoid Autonomous Robot”（即仿照人类自主认知功能的机器人）的缩写命名的。
An optimal learning control method for a robot is introduced with acceleration error used to correct the motion of actuators.
为工业机器人提出了一种最优学习控制法。这种控制法用加速度误差校正驱动器运动。
The learning process use the constant learning rate in the traditional reinforce learning model, because of that robot learn in a low convergence speed and with the poor adaptation.
传统的强化学习模型在整个学习过程中使用恒定学习速率，导致在未知环境下收敛速度慢且适应性差。
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