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公开(公告)号:WO2003063049A1
公开(公告)日:2003-07-31
申请号:PCT/SE2003/000089
申请日:2003-01-21
Applicant: TIFIC AB , NORDIN, Peter
Inventor: NORDIN, Peter
IPC: G06F19/00
Abstract: The method and a system is disclosed providing computerized support. An input device communicates through a communication network with a support server, wherein the input device provides a voice interface between the input device and the user. Further, a database is connected to the server. In use, the server receives information about an object for which support is received information and received responses of questions, a probable fault condition for the object for which support is requested. The questions are based on the response of the previous question. Further, an action to be taken for alleviation of said fault condition could be determined.
Abstract translation: 披露了提供计算机化支持的方法和系统。 输入设备通过通信网络与支持服务器进行通信,其中输入设备在输入设备和用户之间提供语音接口。 此外,数据库连接到服务器。 在使用中,服务器接收关于支持被接收的对象的信息和接收到的问题的响应的信息,对于要求支持的对象的可能的故障条件。 这些问题是基于上一个问题的回答。 此外,可以确定用于减轻所述故障状况的动作。
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公开(公告)号:WO2008136737A1
公开(公告)日:2008-11-13
申请号:PCT/SE2008/000319
申请日:2008-05-08
Applicant: INSTITUTE OF ROBOTICS IN SCANDINAVIA AB , TOFELT, Johan , NORDIN, Peter , BUSCHKA, Pär
Inventor: TOFELT, Johan , NORDIN, Peter , BUSCHKA, Pär
CPC classification number: B25J9/161 , B25J9/163 , G05B2219/39254 , G05B2219/39376 , G05B2219/40496 , G05B2219/40576 , G05D1/0088 , G05D1/0274 , G05D2201/0201 , G05D2201/0203 , G05D2201/0207 , G05D2201/0208 , G05D2201/0214 , G05D2201/0216 , G06N3/086
Abstract: The present invention relates to a robot using a learning control architecture comprising three layers: a reasoning layer, a reactive layer, and a modelling layer. The reasoning layer develops strategies from given commands and measured sensor/actuators signals, the reactive layer develop control commands from strategies and from sensor/actuator signals, and the modelling layer is used by both the reactive and reasoning layer to build a physical model of the world around the robot.
Abstract translation: 本发明涉及使用包括三层的学习控制架构的机器人:推理层,反应层和建模层。 推理层从给定的命令和测量的传感器/致动器信号中发展策略,反应层从策略和传感器/致动器信号开发控制命令,并且建模层由反应和推理层用于构建物理模型 机器人周围的世界
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