WO2012025014A1 - 云机器人系统及实现方法 - Google Patents
云机器人系统及实现方法 Download PDFInfo
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- WO2012025014A1 WO2012025014A1 PCT/CN2011/078246 CN2011078246W WO2012025014A1 WO 2012025014 A1 WO2012025014 A1 WO 2012025014A1 CN 2011078246 W CN2011078246 W CN 2011078246W WO 2012025014 A1 WO2012025014 A1 WO 2012025014A1
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- robot
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1602—Programme controls characterised by the control system, structure, architecture
- B25J9/161—Hardware, e.g. neural networks, fuzzy logic, interfaces, processor
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/33—Director till display
- G05B2219/33333—Network multiprocessing
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/34—Director, elements to supervisory
- G05B2219/34019—Array of processors, parallel computing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S901/00—Robots
- Y10S901/46—Sensing device
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S901/00—Robots
- Y10S901/50—Miscellaneous
Definitions
- the present invention relates to the field of information, and in particular, to a cloud robot system and an implementation method thereof.
- a robot-cloud cloud system for computing, storing, and cooperating with a cloud computing platform, comprising: a cloud computing platform and at least one robot, wherein the cloud computing platform is configured to receive operation information sent by at least one robot in the system, The operation information includes the data, the status, and the request of the robot, and processes the data and the status in the operation information to return to the corresponding robot, and sends a control instruction to the corresponding robot according to the request in the operation information;
- the robot is configured to send its own running information to the cloud computing platform, and receive the processing result of the running information by the cloud computing platform, and run its own action according to the control instruction sent by the cloud computing platform.
- the cloud robot system wherein the cloud computing platform includes at least one cloud brain module, and each cloud brain module corresponds to one robot;
- the cloud robot system wherein the cloud computing platform includes, but is not limited to, a supercomputer, a computer cluster, or a distributed interconnected computer.
- FIG. 1 A cloud-robot system for computing, storing, and collaborating using a cloud computing platform, comprising: a cloud computing platform and at least one robot, the cloud computing platform being configured to receive at least one robot sent by the system Running information including the data, status, and request of the robot, processing the data and status in the running information, returning to the corresponding robot, and transmitting a control command to the corresponding request according to the running information
- the robot is configured to send its own running information to the cloud computing platform, and receive a processing result of the running information by the cloud computing platform, and run according to a control instruction sent by the cloud computing platform. Self action.
- the computing tasks and storage tasks that the robot needs to process are transmitted to the cloud computing platform for processing, and the processed results are returned to the robot; the interaction between the robots is completed by interaction between the robots and the cloud computing platform.
- the computational storage capacity of cloud robots is stronger than other robots, because the computing storage capacity of cloud computing platforms can be expanded infinitely according to needs; cloud robots save costs compared to other robots, because the consumption of computing storage resources is completely based on the objective needs of robots;
- the communication is more efficient and low-cost, because the cloud robot only needs to communicate with the cloud computing platform, the communication topology is simpler, and the cloud computing platform can use aggregate communication to reduce the traffic.
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Robotics (AREA)
- Mechanical Engineering (AREA)
- Evolutionary Computation (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Manipulator (AREA)
Abstract
Description
Claims (18)
- 一种云机器人系统,其特征在于,包括云计算平台以及至少一个的机器人,所述云计算平台用于接收系统中至少一个机器人发送的运行信息,所述运行信息包括该机器人的数据、状态以及请求,所述云计算平台用于将运行信息中的数据和状态进行处理后返回给相应的机器人,以及,根据所述运行信息中的请求发送控制指令至相应的机器人;所述机器人用于将自身的运行信息发送至所述云计算平台,并接收所述云计算平台对所述运行信息的处理结果,以及,根据所述云计算平台发送的控制指令运行自身动作。
- 根据权利要求1所述的云机器人系统,其特征在于,所述机器人包括第一通信模块,所述云计算平台包括第二通信模块;所述机器人与云计算平台间通过第一通信模块和第二通信模块建立有线或无线通信连接方式进行相互通信;且在同一个云计算平台下的所有机器人通过云计算平台进行互相通信。
- 根据权利要求2所述的云机器人系统,其特征在于,所述机器人还包括:自身大脑模块,用于处理机器人自身的请求;传感器,用于收集数据;机器人监控模块,用于根据云计算平台返回的结果进行机器人行为和状态的控制,并将所述传感器收集到的数据和机器人本身的状态以及服务请求及时发送给云计算平台。
- 根据权利要求2所述的云机器人系统,其特征在于,所述云计算平台包括至少一个云脑模块,且每一个云脑模块对应一个机器人;所述云脑模块,用于存储机器人的知识库、推理机、神经网络、数据和经验;所述云脑模块还用于处理机器人发送来的数据、状态和请求,并将处理后的结果发送给机器人。
- 根据权利要求4所述的云机器人系统,其特征在于,所述云计算平台还包括至少一个社交模块,且每一个社交模块对应至少一个云脑模块;社交模块,用于不同机器人对应的云脑模块之间的沟通,进行机器人群体信息的分析挖掘,实现机器人之间的协同、联动;所述机器人通过所述社交模块加入或退出机器人群体。
- 根据权利要求5所述的云机器人系统,其特征在于,所述云计算平台还包括:系统生成模块,用于为新加入的机器人在云计算平台中克隆出该机器人对应的云脑模块,为新加入的机器人群体在云计算平台中克隆出该机器人群体对应的社交模块。
- 根据权利要求1所述的云机器人系统,其特征在于,所述云计算平台包括但不限于超级计算机、计算机机群或分布式互联的计算机。
- 根据权利要求4所述的云机器人系统,其特征在于,所述云脑模块采用分布式并行的方式处理机器人发送来的数据、状态和请求。
- 根据权利要求1所述的云机器人系统,其特征在于,所述云计算平台的计算和存储能力可无限扩展的,且云计算平台根据机器人的需求分配计算存储资源。
- 一种云机器人实现方法,其特征在于,包括以下步骤:机器人通过通信模块接入云计算平台;机器人将包括传感器接收的数据、自身的状态和请求的运行信息发送到云计算平台中;云计算平台处理机器人发送来的数据、状态和请求,并将处理后结果返回给相应的机器人,并根据运行信息中的请求发送控制指令至相应的机器人;云计算平台还进行机器人群体信息的分析挖掘;机器人根据返回的结果进行机器人行为和状态的控制,具体是:接收云计算平台对运行信息的处理结果,以及,根据所述云计算平台发送的控制指令运行自身动作;机器人通过云计算平台相互沟通,实现机器人之间的协同、联动。
- 根据权利要求10所述的云机器人实现方法,其特征在于,所述机器人包括第一通信模块,所述云计算平台包括第二通信模块,所述机器人通过通信模块接入云计算平台的步骤为:所述机器人与云计算平台间通过第一通信模块和第二通信模块建立有线或无线通信连接方式进行相互通信;且在同一个云计算平台下的所有机器人通过云计算平台进行互相通信。
- 根据权利要求11所述的云机器人实现方法 ,其特征在于,所述方法还包括:所述机器人通过自身大脑模块处理机器人自身的请求。
- 根据权利要求11所述的云机器人实现方法,其特征在于,所述方法还包括:所述云计算平台通过云脑模块存储机器人的知识库、推理机、神经网络、数据和经验,并通过云脑模块处理与云脑模块对应的机器人发送来的数据、状态和请求,并将处理后的结果发送给机器人。
- 根据权利要求13所述的云机器人实现方法,其特征在于,所述方法还包括:所述云计算平台通过社交模块进行不同机器人对应的云脑模块之间的沟通,进行机器人群体信息的分析挖掘,实现机器人之间的协同、联动;所述机器人通过社交模块加入或退出机器人群体。
- 根据权利要求14所述的云机器人实现方法,其特征在于,所述方法还包括:所述云计算平台通过系统生成模块为新加入的机器人在云计算平台中克隆出该机器人对应的云脑模块,为新加入的机器人群体在云计算平台中克隆出该机器人群体对应的社交模块。
- 根据权利要求10所述的云机器人实现方法,其特征在于,所述云计算平台包括但不限于超级计算机、计算机机群或分布式互联的计算机。
- 根据权利要求13所述的云机器人实现方法,其特征在于,所述云脑模块采用分布式并行的方式处理机器人发送来的数据、状态和请求。
- 根据权利要求10所述的云机器人实现方法,其特征在于,所述云计算平台的计算和存储能力可无限扩展的,且云计算平台根据机器人的需求分配计算存储资源。
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US13/818,739 US9031692B2 (en) | 2010-08-24 | 2011-08-11 | Cloud robot system and method of integrating the same |
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