Your first robot should be about learning how to build a robot, not how to make a neat robot.
你的第一个机器人，目的应该是学习怎么制作一个机器人，而不是制作一个灵巧的机器人。
The robot teachers are used to help improve learning.
机器人教师被用于帮助改善学习。
Now, computer scientists from the Machine Perception Laboratory at the University of California, San Diego have used machine learning to enable the robot to learn expressions on its own.
而现在，圣地亚哥加利弗尼亚大学机器感知实验室的计算机科学家们已经可以通过机器人的机器学习能力使它自己教会自己做出面部表情。
In fact, in this relationship, the robot does all the work, learning by trial and error, taking all the risks and adapting to my moods and whims.
事实上，在两人的关系当中，机器人包下了所有的事情，他反复学习来迎合我的情绪和冲动。
"Robot" and his classmates are learning the colors of the fish on Mickey Mouse's boat and the articles of clothing Goofy needs when the weather gets cold.
罗伯特和他的同学正在学习米老鼠船上鱼的颜色和天气变凉时高飞狗身上穿的衣服。
Redesign your first robot after learning from your mistakes and enter again the next time.
从失败中吸取教训重新设计你的第一个机器人然后下次继续参加。
Software robot simulators not only simplify development work for robotics engineers, but they also give researchers a tool for studying artificial intelligence (AI) algorithms and machine learning.
软件机器人模拟器不但简化了机器人工程师的开发工作，还为研究人工智能(artificial intelligence,AI)算法和机器学习提供了工具。
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 “CognitiveHumanoidAutonomous Robot”（即仿照人类自主认知功能的机器人）的缩写命名的。
A robot has taught itself to smile, frown, and make other human facial expressions using machine learning.
机器人已经能够通过机器学习能力教会自己微笑、皱眉以及其他的人类面部表情。
The robot used this data as an input for its machine learning algorithms and created a map between its facial expressions and the movements of its muscle motors.
该机器人用这些数据作为其机器学习算法的输入数据，产生一个脸部表情和相应肌肉马达运动之间的信息存储分布图。
As far as artificial intelligence, I am learning about playing a robot.
至于人工智能方面，我也在学习如何扮演一个机器人。
How do you think these emotional factors would influence the learning process in the robot?
你觉得这些情绪因素会怎样影响机器人的学习过程？
Based on soccer robot simulation as its research platform, this paper studies the learning of high level strategy of multi-agent adversarial system.
本文以足球仿真机器人系统为研究平台，研究多智能体对抗系统的高层策略学习问题。
In this paper, explanation learning is creatively applied to and a new method is developed for robot process control.
本文将解释学习应用于机器人过程控制，为之开发了一种新的方法。
On the basis of problem formulation of robot action planning, a new method is proposed for it, through applying the explanation based learning to acquire searching strategies.
本文在对机器人动作规划进行问题描述的基础上，通过应用解释学习来获取搜索策略，为其提出了一种新的方法。
This paper adopts reinforcement learning method to accomplish robot soccer cooperation strategy.
利用强化学习方法实现足球机器人协作策略。
The other is ship course self-studying fuzzy control system, which is based on the learning mechanism of robot repetition control. The thesis analyses the system 's characteristic.
二是基于机器人重复控制的学习机理，提出了一种船舶航向自学习型模糊控制系统，分析了该系统的特点。
For the peculiarity of team formation, an environment-based learning method is proposed to enable the system of robot team formation to have stronger adaptability to the environment.
针对编队问题的具体特性，提出了基于环境的记忆学习方法，使多机器人编队系统具有较强的环境自适应能力。
According to the problem of mobile robot navigation in the unknown environment, a hybrid control method based on hierarchical reinforcement learning (HRL) is proposed.
针对未知环境下的移动机器人导航问题，本文提出了一种基于分层式强化学习的混合式控制方法。
Rather HERB is a learning, autonomous robot.
相反草药是一个学习，自主机器人。
Research on local path planning of mobile robot based on Q reinforcement learning and CMAC neural networks.
基于Q强化学习与CMAC神经网络的移动机器人局部路径规划研究。
This paper focuses on the hierarchical learning of high level strategy of soccer robot system.
本文集中研究足球机器人高层策略的分层学习。
Learning from demonstration is an efficient way for transferring movement skill from a human teacher to a robot.
示教学习是机器人运动技能获取的一种高效手段。
The issue of cooperation learning for autonomous micro-mobile robot is the main problem of multi-agent robot system theory.
自主微小型移动机器人的协作学习研究是多智能体机器人系统理论的主要研究方向。
To make a robot track a given desired motion trajectory, a new learning control scheme is proposed which is based on the repeatability of robot motion.
为了使机器人跟踪给定的期望轨线，提出了一种新的基于机器人运动重复性的学习控制法。
This paper discusses reinforcement learning(RL)algorithm and its application to technical action learning of soccer robot.
主要研究了强化学习算法及其在机器人足球比赛技术动作学习问题中的应用。
Now, University of Delaware researchers are designing robot language and learning capabilities based on the complex rules that human language follows.
现在，特拉华大学的研究人员正在设计机器人语言和基于人类语言遵循的复杂规则的学习能力。
Now, University of Delaware researchers are designing robot language and learning capabilities based on the complex rules that human language follows.
现在，特拉华大学的研究人员正在设计机器人语言和基于人类语言遵循的复杂规则的学习能力。
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