Cloud robots are a combination of cloud computing and robotics. Like other network terminals, the robot itself does not need to store all the information, or has superior computing power. Only need to make demands on the cloud, the cloud responds accordingly and satisfies.
Cloud robot
At the Humanoids 2010 conference, Professor James Kuffner of Carnegie Mellon University proposed the concept of "cloud robot" and caused extensive discussion. Many experts at the Humanoids 2010 conference are more optimistic about cloud robots. Perhaps cloud robots are the next leap forward in robotics.
Cloud robot concept
Background concept
To understand cloud robots in more detail, you first need to understand cloud computing. The concept of cloud computing has the distinction between narrow cloud computing and generalized cloud computing:
Narrow cloud computing refers to the delivery and usage model of IT infrastructure, which refers to obtaining the required resources (hardware, platform, software) through the network in an on-demand and extensible manner. The network that provides the resources is called the "cloud." The resources in the "cloud" can be expanded infinitely by users, and can be obtained at any time, used as needed, expanded at any time, and paid for by usage. This feature is often referred to as the use of IT infrastructure like hydropower.
Generalized cloud computing refers to the delivery and use of services, which means that the required services are obtained on-demand and easily expanded through the network. This service can be IT and software, Internet related, or any other service.
The "cloud" of cloud computing can be understood as "multiple" and "large scale." "Cloud" is a virtual computing resource that can be self-maintained and managed, usually a large server cluster, including computing servers, storage servers, broadband resources, and so on. Cloud computing centralizes all computing resources and is automatically managed by software without human intervention. For example, Google Cloud Computing has millions of servers.
It can be seen from this that the cloud robot does not refer to a certain robot, nor is it a certain type of robot, but refers to an academic concept of the way the robot information is stored and acquired. The benefits of this way of accessing information are obvious. For example, the robot can obtain photos of some surrounding environment through the camera, upload it to the server, and the server can retrieve similar photos, calculate the travel path of the robot to avoid obstacles, and store the information for other convenience. Robot retrieval. All robots can share databases and reduce developer development time.
Cloud robot practice
RoboEarth shows us that cloud robots are not only concepts, but have already been implemented. As a new concept in the field of robotics, cloud robots are important in helping the robots learn from each other and share knowledge through the Internet and cloud computing, and solve the limitations of individual machine self-learning.
RoboEarth is a website dedicated to robots. It is a huge network database system where robots can share information and learn from each other's behaviors and environments. Individual robots are isolated, their functions and behaviors are basically set at the factory, and many robots do not have self-learning capabilities. Therefore, when the robot is in an unfamiliar, unstructured environment, it is impossible to read the environment and effectively deal with some things. Faced with the diversity of human living environment, robots can learn by themselves. Today's rapidly developing sensor technology allows researchers to collect a large amount of sensor information. Data mining tools can also extract more effective models, powerful Internet technologies (such as clouds). Computation) allows developers to get more information than machine self-learning.
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