进化机器人的思想主要来源于进化计算。
The thinking of evolutionary robotics mainly comes from evolutionary computation.
最后，本文对与进化机器人有关的几个问题进行了探讨，并作了总结与展望。
Finally the paper discusses several problems related to ER and summarizes the paper.
位于美国加利福尼亚州帕萨迪纳的“进化机器人”公司，开发了一个名为ERSP的通用平台，用以开发机器人以及自动化机械。
Evolution Robotics of Pasadena, California, has a popular platform called ERSP for developing robots and automation.
为了克服传统机器人设计方法存在的局限性 ，提高机器人的自适应能力 ，采用神经网络方法实现了进化机器人避碰、趋近及其组合行为学习 。
Obstacle avoidance, target approach and their combination behavior learning of evolutionary robot are realized by the use of artificial neural network in this paper.
但，即使是我们发明的机器人——它们能够通过传感器和计算机来进行探测性的度量——进化也远远比这个复杂得多。
But although we build robots in this manner—equipping them with sensors and computers to plumb the metric properties of their environments—evolution has taken a more complex route.
为了表明她的这一说法，她通过让“阿维达人”进化出对光源的吸引力，并使用该进化代码控制真正的机器人向光源移动。
She demonstrated this by getting Avidians to evolve an attraction to light sources. She then used the evolved code to control a real-world robot - and it moved towards the light.
伟大的自然设计师—物种进化—已经为工具型机器人和类人型机器人不能解决的问题提供了答案。
The great natural designer, evolution, has come up with solutions to problems that neither the Widgetophora nor the Anthropoidea can manage.
据报道，美国布兰戴斯大学的科学家们已经开发出一种计算机程序，能使用自然选择法则让机器人进化。
Reportedly scientists at Brandeis University in the U. S. have developed ba computer program that uses the principles of natural selection to evolve robots.
一位历史学家称，随着人们慢慢的融合到如电脑、智能手机等科技中，有钱人极有可能在200年内进化成半机器人。
Wealthy humans are likely become cyborgs within 200 years as they gradually merge with technology like computers and smart phones, a historian has claimed.
时空吧……至于你的第二个问题嘛，在经过了与机器人战斗的无数岁月里，我们人类难道就不会进化吗？
Time and space ……as for your second problem, at passed by to fight with robot of numerous yearses in, our mankind can't evolve?
文章提出了利用协作协进化来实现多智能体机器人之间协作的一种机制。
This paper proposes a mechanism which realizes the cooperation of multi-agent by cooperative co-evolution.
为了提高足球机器人策略系统的智能，提出了基于进化方法的足球机器人策略系统。
The soccer robot strategy system based on evolutionary methods to improve the intelligence of soccer robot strategy system.
用神经网络构造机器人周围环境及障碍物的描述模型，用免疫进化算法寻找最佳路径。
Constructs the description model of environment and obstacle with neural network. Asks for the best path with immune evolution algorithm.
在遇到类似环境时，机器人使用相同的行为仍可根据环境的变化进化自身的行为动作。
When robot meets the similar environment, the behavior which the robot USES still might be evolved according to the changed environment.
最后对机器人的路径规划进行了研究，将神经网络和免疫进化算法共同应用于机器人的路径规划。
Finally researches the path planning of robot, applies both neural network and immune evolution algorithm to the path planning of robot.
接着重点探讨了结合免疫进化和协同进化算法的单机器人和多机器人路径规划问题。
Afterwards, a new robot path planning method and a new multi-robots path planning method proposed by author and integrated by the virtue of immune operation and coevolutionary.
文章提出了利用协作协进化来实现多智能体机器人之间协作的一种机制。
In this paper, we put forward the multi-agent architecture and the coordination mechanism based on co-evolution and establish the multi-agent system simulation framework.
而在人们设计能够学习和进化的人工智能时，甚至可以采用取代最狭隘的命令，如艾萨克·阿西莫夫的“机器人三定律”的行为准则。
Even learning and evolving A. I. s could be designed with behavioral guidelines that would supersede their narrowest imperatives, ala Isaac Asimov's Three Laws of Robotics.
而在人们设计能够学习和进化的人工智能时，甚至可以采用取代最狭隘的命令，如艾萨克·阿西莫夫的“机器人三定律”的行为准则。
Even learning and evolving A. I. s could be designed with behavioral guidelines that would supersede their narrowest imperatives, ala Isaac Asimov's Three Laws of Robotics.
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