公开(公告)号：US08311670B2

公开(公告)日：2012-11-13

申请号：US12025278

申请日：2008-02-04

申请人： Kang-Hee Lee ,  Kwang-Choon Kim

发明人： Kang-Hee Lee ,  Kwang-Choon Kim

IPC分类号： G06F19/00 ,  G05B19/00

CPC分类号： G06N3/008

摘要： A genetic robot platform and a genetic robot behavior expression method. When a controller of a robot platform driving a genetic robot, which has robot-behavior-expression-related information as gene information and of which an expression behavior is determined according to the gene information, recognizes a stimulation, the controller determines whether there is an instinctive behavior corresponding to the recognized stimulation. When there is an instinctive behavior corresponding to the recognized stimulation, the controller determines whether the recognized stimulation corresponds to the first generated stimulation or a repeatedly-generated stimulation, and determines an instinctive behavior to be expressed according to the recognized stimulation and the number of times of repeated stimulations. Then, the controller enables the robot to perform the instinctive behavior corresponding to the currently-recognized stimulation by expressing the determined instinctive behavior. Accordingly, there is an effect of providing a robot which is implemented to be more similar to real life.

摘要翻译： 遗传机器人平台和遗传机器人行为表达方法。 当机器人平台的控制器驱动具有机器人行为表达相关信息作为基因信息并且根据基因信息确定表达行为的遗传机器人识别刺激时，控制器确定是否存在 对应于识别刺激的本能行为。 当存在对应于识别的刺激的本能行为时，控制器确定识别的刺激是否对应于第一产生的刺激或重复产生的刺激，并且根据识别的刺激和次数来确定要表达的本能行为 反复刺激。 然后，控制器使得机器人通过表达所确定的本能行为来执行与当前识别的刺激相对应的本能行为。 因此，具有提供实现为更加类似于现实生活的机器人的效果。

公开(公告)号：US07827126B2

公开(公告)日：2010-11-02

申请号：US11850515

申请日：2007-09-05

申请人： Kang-Hee Lee ,  Kwang-Choon Kim

发明人： Kang-Hee Lee ,  Kwang-Choon Kim

IPC分类号： G06F15/18 ,  G05B19/04 ,  G06F17/00

CPC分类号： G06N3/004

摘要： Disclosed is a method for changing emotion of a software robot (sobot) in a sobot terminal. The sobot terminal includes a short-term memory unit and a long-term memory unit. When an emotional change occurs during the operation of the short-term memory unit, the sobot terminal stores a short-term reference emotion value of the corresponding emotion in the long-term reference memory. When the operation time of the long-term memory unit elapses, the sobot terminal resets the long-term reference emotion value using the short-term reference emotion values stored in the long-term memory unit. The sobot terminal can change the emotion of the sobot more naturally through the above process.

摘要翻译： 公开了一种在sobot终端中改变软件机器人（sobot）情绪的方法。 sobot终端包括短期存储单元和长期存储单元。 当在短期存储单元的操作期间发生情绪变化时，sobot终端在长期参考存储器中存储相应情绪的短期参考情感值。 当长期存储单元的操作时间过去时，sobot终端使用存储在长期存储单元中的短期参考情感值来重置长期参考情感值。 sobot终端可以通过上述过程更自然地改变sobot的情绪。

公开(公告)号：US07984013B2

公开(公告)日：2011-07-19

申请号：US12026244

申请日：2008-02-05

申请人： Kang-Hee Lee ,  Kwang-Choon Kim ,  Ye-Hoon Kim ,  Jong-Hwan Kim ,  Se-Hyoung Cho ,  Seung-Hwan Cho

发明人： Kang-Hee Lee ,  Kwang-Choon Kim ,  Ye-Hoon Kim ,  Jong-Hwan Kim ,  Se-Hyoung Cho ,  Seung-Hwan Cho

IPC分类号： G06F15/18

CPC分类号： G06N3/004

摘要： Disclosed is a method and apparatus for learning behavior in a software robot. The method includes detecting a kind of an object in cyberspace related to a kind of presently manifested action, and a kind and the variation of at least one state among percept states or emotional states preset so as to change in relation to the kind of the action; finding episodes respectively corresponding to each of one or more objects in the cyberspace, each of one or more emotional states and each of one or more percept states, respectively defined in the software robot, a kind of an object in cyberspace related to the detected kind of the action among multiple episodes for responding a combination of kinds of respective one or more actions and for storing variation related to each state, and a kind of at least one state among percept states or emotional states preset so as to change in relation to the kind of the action; using variation stored in response to the found episode and variation generated in response to the manifested action, and calculating a representative variation; and storing the representative variation as a variation of the found episode.

摘要翻译： 公开了一种用于在软件机器人中学习行为的方法和装置。 该方法包括检测与一种当前表现的动作有关的网络空间中的对象的种类，以及预先设定的感知状态或情绪状态中的至少一种状态的种类和变化，以便相对于动作的种类而改变 ; 分别对应于网络空间中的一个或多个对象中的每一个，分别在软件机器人中定义的一个或多个情绪状态和一个或多个感知状态中的每一个，与检测到的种类有关的网络空间中的对象的种类 用于响应相应的一个或多个动作的种类的组合并且用于存储与每个状态相关的变化的多个事件中的动作，以及预先设定为相对于所述动作变化的感知状态或情绪状态中的至少一种状态的种类 一种行动; 使用响应于所发现的情节而存储的变化和响应于所表现的动作产生的变化，以及计算代表性变化; 并且将代表性变体存储为所发现的剧集的变体。

公开(公告)号：US20080059393A1

公开(公告)日：2008-03-06

申请号：US11850515

申请日：2007-09-05

申请人： Kang-Hee Lee ,  Kwang-Choon Kim

发明人： Kang-Hee Lee ,  Kwang-Choon Kim

IPC分类号： G06F15/18 ,  G05B19/04

CPC分类号： G06N3/004

摘要： Disclosed is a method for changing emotion of a software robot (sobot) in a sobot terminal. The sobot terminal includes a short-term memory unit and a long-term memory unit. When an emotional change occurs during the operation of the short-term memory unit, the sobot terminal stores a short-term reference emotion value of the corresponding emotion in the long-term reference memory. When the operation time of the long-term memory unit elapses, the sobot terminal resets the long-term reference emotion value using the short-term reference emotion values stored in the long-term memory unit. The sobot terminal can change the emotion of the sobot more naturally through the above process.

摘要翻译： 公开了一种在sobot终端中改变软件机器人（sobot）情绪的方法。 sobot终端包括短期存储单元和长期存储单元。 当在短期存储单元的操作期间发生情绪变化时，sobot终端在长期参考存储器中存储相应情绪的短期参考情感值。 当长期存储单元的操作时间过去时，sobot终端使用存储在长期存储单元中的短期参考情感值来重置长期参考情感值。 sobot终端可以通过上述过程更自然地改变sobot的情绪。

公开(公告)号：US08204839B2

公开(公告)日：2012-06-19

申请号：US12027631

申请日：2008-02-07

申请人： Kang-Hee Lee ,  Kwang-Choon Kim ,  Jong-Hwan Kim ,  Ye-Hoon Kim ,  Se-Hyoung Cho ,  Seung-Hwan Choi

发明人： Kang-Hee Lee ,  Kwang-Choon Kim ,  Jong-Hwan Kim ,  Ye-Hoon Kim ,  Se-Hyoung Cho ,  Seung-Hwan Choi

IPC分类号： G06F15/18

CPC分类号： G06N3/004

摘要： Disclosed is a software robot apparatus and a method including detecting environmental information, detecting multiple external events objects, generating a sensor value having an effect on the software robot, changing physical states related to external events and internal events, generating a physical state value, changing a perception state, generating a perception state value corresponding to the changed perception state, changing an emotion state, generating an emotion state value; detecting an episode related to a behavior type, storing a variance related to each state, calculating a representative variance, and when a current perception state or a current emotion state is identified as unstable, detecting an episode capable of changing the unstable state into a normal state, determining a behavior and an object stored in the detected episode as a final behavior object, and expressing an actual behavior of the software robot to the object corresponding to the final behavior object.

摘要翻译： 公开了一种软件机器人装置和方法，包括检测环境信息，检测多个外部事件对象，生成对软件机器人具有影响的传感器值，改变与外部事件和内部事件相关的物理状态，生成物理状态值，改变 感知状态，产生与改变的感知状态对应的感觉状态值，改变情绪状态，产生情绪状态值; 检测与行为类型相关的情节，存储与每个状态相关的方差，计算代表性方差，以及当当前感知状态或当前情感状态被识别为不稳定时，检测能够将不稳定状态改变为正常的情节 将所检测到的情节中存储的行为和对象确定为最终行为对象，并将软件机器人的实际行为表示到对应于最终行为对象的对象。

公开(公告)号：US20080215182A1

公开(公告)日：2008-09-04

申请号：US12025278

申请日：2008-02-04

申请人： Kang-Hee Lee ,  Kwang-Choon Kim

发明人： Kang-Hee Lee ,  Kwang-Choon Kim

IPC分类号： B25J13/08 ,  G05B19/00

CPC分类号： G06N3/008

摘要： A genetic robot platform and a genetic robot behavior expression method. When a controller of a robot platform driving a genetic robot, which has robot-behavior-expression-related information as gene information and of which an expression behavior is determined according to the gene information, recognizes a stimulation, the controller determines whether there is a preset instinctive behavior corresponding to the recognized stimulation. When there is a preset instinctive behavior corresponding to the recognized stimulation, the controller determines whether the recognized stimulation corresponds to the first generated stimulation or a repeatedly-generated stimulation, and determines an instinctive behavior to be expressed according to the recognized stimulation and the number of times of repeated stimulations. Then, the controller enables the robot to perform the instinctive behavior corresponding to the currently-recognized stimulation by expressing the determined instinctive behavior. Accordingly, there is an effect of providing a robot which is implemented to be more similar to real life.

摘要翻译： 遗传机器人平台和遗传机器人行为表达方法。 当机器人平台的控制器驱动具有机器人行为表达相关信息作为基因信息并且根据基因信息确定表达行为的遗传机器人识别刺激时，控制器确定是否存在 预测的本能行为对应于识别的刺激。 当存在与识别的刺激相对应的预设本能行为时，控制器确定识别的刺激是否对应于第一产生的刺激或重复产生的刺激，并且根据识别的刺激和数量来确定要表达的本能行为 反复刺激的次数。 然后，控制器使得机器人通过表达所确定的本能行为来执行与当前识别的刺激相对应的本能行为。 因此，具有提供实现为更加类似于现实生活的机器人的效果。

公开(公告)号：US20080208776A1

公开(公告)日：2008-08-28

申请号：US12026244

申请日：2008-02-05

申请人： Kang-Hee LEE ,  Kwang-Choon Kim ,  Ye-Hoon Kim ,  Jong-Hwan Kim ,  Se-Hyoung Cho ,  Seung-Hwan Cho

发明人： Kang-Hee LEE ,  Kwang-Choon Kim ,  Ye-Hoon Kim ,  Jong-Hwan Kim ,  Se-Hyoung Cho ,  Seung-Hwan Cho

IPC分类号： G06F15/18

CPC分类号： G06N3/004

摘要： Disclosed is a method and apparatus for learning behavior in a software robot. The method includes detecting a kind of an object in cyberspace related to a kind of presently manifested action, and a kind and the variation of at least one state among percept states or emotional states preset so as to change in relation to the kind of the action; finding episodes respectively corresponding to each of one or more objects in the cyberspace, each of one or more emotional states and each of one or more percept states, respectively defined in the software robot, a kind of an object in cyberspace related to the detected kind of the action among multiple episodes for responding a combination of kinds of respective one or more actions and for storing variation related to each state, and a kind of at least one state among percept states or emotional states preset so as to change in relation to the kind of the action; using variation stored in response to the found episode and variation generated in response to the manifested action, and calculating a representative variation; and storing the representative variation as a variation of the found episode.

摘要翻译： 公开了一种用于在软件机器人中学习行为的方法和装置。 该方法包括检测与一种当前表现的动作有关的网络空间中的对象的种类，以及预先设定的感知状态或情绪状态中的至少一种状态的种类和变化，以便相对于动作的种类而改变 ; 分别对应于网络空间中的一个或多个对象中的每一个，分别在软件机器人中定义的一个或多个情绪状态和一个或多个感知状态中的每一个，与检测到的种类有关的网络空间中的对象的种类 用于响应相应的一个或多个动作的种类的组合并且用于存储与每个状态相关的变化的多个事件中的动作，以及预先设定为相对于所述动作变化的感知状态或情绪状态中的至少一种状态的种类 一种行动; 使用响应于所发现的情节而存储的变化和响应于所表现的动作产生的变化，以及计算代表性变化; 并且将代表性变体存储为所发现的剧集的变体。

公开(公告)号：US20080195566A1

公开(公告)日：2008-08-14

申请号：US12027631

申请日：2008-02-07

申请人： Kang-Hee LEE ,  Kwang-Choon Kim ,  Jong-Hwan Kim ,  Ye-Hoon Kim ,  Se-Hyoung Cho ,  Seung-Hwan Choi

发明人： Kang-Hee LEE ,  Kwang-Choon Kim ,  Jong-Hwan Kim ,  Ye-Hoon Kim ,  Se-Hyoung Cho ,  Seung-Hwan Choi

IPC分类号： G06F15/18 ,  G06F19/00

CPC分类号： G06N3/004

摘要： Disclosed is a software robot apparatus and a method including detecting environmental information, detecting multiple external events objects, generating a sensor value having an effect on the software robot, changing physical states related to external events and internal events, generating a physical state value, changing a perception state, generating a perception state value corresponding to the changed perception state, changing an emotion state, generating an emotion state value; detecting an episode related to a behavior type, storing a variance related to each state, calculating a representative variance, and when a current perception state or a current emotion state is identified as unstable, detecting an episode capable of changing the unstable state into a normal state, determining a behavior and an object stored in the detected episode as a final behavior object, and expressing an actual behavior of the software robot to the object corresponding to the final behavior object.

摘要翻译： 公开了一种软件机器人装置和方法，包括检测环境信息，检测多个外部事件对象，生成对软件机器人具有影响的传感器值，改变与外部事件和内部事件相关的物理状态，生成物理状态值，改变 感知状态，产生与改变的感知状态对应的感觉状态值，改变情绪状态，产生情绪状态值; 检测与行为类型相关的情节，存储与每个状态相关的方差，计算代表性方差，以及当当前感知状态或当前情感状态被识别为不稳定时，检测能够将不稳定状态改变为正常的情节 将所检测到的情节中存储的行为和对象确定为最终行为对象，并将软件机器人的实际行为表示到对应于最终行为对象的对象。

公开(公告)号：US07937337B2

公开(公告)日：2011-05-03

申请号：US11851175

申请日：2007-09-06

申请人： Kang-Hee Lee ,  Kwang-Choon Kim ,  Jong-Hwan Kim

发明人： Kang-Hee Lee ,  Kwang-Choon Kim ,  Jong-Hwan Kim

IPC分类号： G06F15/18

CPC分类号： G06N3/004 ,  G06N3/126

摘要： A system and method for generating a robot genome. Internal state attribute preferences of internal states and behavior preferences are input by a user, and a set of one or more robot genomes containing initial values of genes is generated. A masking process of each robot genome of the generated robot genome group is performed so attributes are manifested. Robot genomes that underwent the masking process are loaded into a personality engine. A reliability value is calculated from a manifestation result of each robot genome, and reliability values of extracted robot genomes that satisfy a particular user reliability value are determined. Extracted robot genomes are modified when the user reliability value is not satisfied, and a new robot genome group including the modified robot genomes is generated. A robot genome satisfying the user reliability is extracted by iteratively performing the above procedures for the newly generated robot genome group.

摘要翻译： 一种生成机器人基因组的系统和方法。 内部状态和行为偏好的内部状态属性偏好由用户输入，并且生成包含基因初始值的一个或多个机器人基因组的集合。 所生成的机器人基因组的每个机器人基因组的掩蔽过程被执行，从而表现出属性。 经历掩蔽过程的机器人基因组被加载到个性引擎中。 从每个机器人基因组的显示结果计算可靠性值，并且确定满足特定用户可靠性值的提取的机器人基因组的可靠性值。 当用户可靠性值不满足时，提取的机器人基因组被修改，并且生成包括修改的机器人基因组的新的机器人基因组。 通过对新生成的机器人基因组进行迭代地执行上述步骤来提取满足用户可靠性的机器人基因组。

公开(公告)号：US20090024249A1

公开(公告)日：2009-01-22

申请号：US12173905

申请日：2008-07-16

申请人： Kang-Hee Lee ,  Kwang-Choon Kim ,  Jong-Hwan Kim ,  Seung-Hwan Choi

发明人： Kang-Hee Lee ,  Kwang-Choon Kim ,  Jong-Hwan Kim ,  Seung-Hwan Choi

IPC分类号： G06F19/00 ,  B25J13/00

CPC分类号： G06N3/126 ,  G06N3/006

摘要： A method for designing a genetic code for a software robot in a software robot apparatus is provided in which a request for writing a genetic code for a software robot is received from a user, a plurality of intuition traits associated with one or more pieces of genetic information among genetic information included in the genetic code are provided, a value of an intuition trait selected from among the plurality of intuition traits is changed according to a user input, a representation value of each piece of genetic information related to the selected intuition trait is changed by applying the changed value of the intuition trait to a predetermined conversion formula, and the software robot is implemented according to representation values of the genetic information included in the genetic code, an external stimulus, and an internal state change of the software robot.

摘要翻译： 提供了一种在软件机器人装置中设计用于软件机器人的遗传密码的方法，其中从用户接收到针对软件机器人编写遗传密码的请求，与一个或多个遗传物质相关联的多个直觉特征 提供了包括在遗传密码中的遗传信息之间的信息，根据用户输入改变从多个直觉特征中选择的直觉特征的值，与所选择的直觉特征相关的每条遗传信息的表示值是 通过将直觉特征的改变的值应用到预定的转换公式来改变，并且软件机器人根据包括在遗传密码中的遗传信息的表示值，外部刺激和软件机器人的内部状态变化来实现。