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Title: Knowledge Sharing for Task Planning Cloud Robotics
Authors: Khan, Wasim Ahmad
Keywords: Physical Sciences
Computer Science
Issue Date: 2020
Publisher: National College of Business Administration & Economics, Lahore.
Abstract: Throughout the past few decades, the development of industrial robots and automation systems have developed enormously. Following the decrease in manufacturing costs worldwide and increase in potency, technology has completely reshaped the production operations. For example, the automotive industry is the dominating user of industrial automation systems enabling them to manufacture high-quality automobiles at economical rates. Robots have taken on many of the cautious production duties that need absolute clarity and repeatability. Robotic systems have brought massive socio-economics footprint to the life of humans over the past few decades. Robots have been deployed in different industries to perform tedious tasks, repetitive tasks and dangerous tasks which includes the doing assembling of parts, packaging of products and welding the objects. Such pre-programmed robots were prevalent in industrial applications because they give high performance, accuracy, rapidness and precision in the structuring of the factory environment. To extend the functionality, these robots are integrated with the cloud engine to encourage the exposure of the cloud robotics. The cloud Robotics gives robotic new paradigm to learn from the pre-examined experience of other robots. Cloud Computing is getting more and more famous due to intensification in applying a similar concept with robotics. The cloud grants the facility to perform the high computation or storing a piece of information on a large scale could be easily accomplished. Knowledge sharing could be done often more easily and in a proper manner by using less efficiency, less hardware and requiring less computational power. The applications of these defined concepts are defined as the “Cloud Robotics”. There have been various attempts to bring parts of the robot control program into the cloud. Each attempt focus on different features, for example, storing and sharing of knowledge, putting down computational tasks, coordinating distributed robot teams and faraway operating partly autonomous robots. The cloud Robotics relies on storing their perceived information on the cloud and uses the cloud robots could communicate with the isolated framework will also help them in order to attain a high level of performance. The cloud Robotics grants robots to be dispersed to among different contrasting computer systems running on the internet. The cloud Robotics includes robots that are connected with each other by using cloud services. Robots work with each other in a particular way they perceive information of the object and send the information to other robots by using the cloud framework. The cloud framework grants the facility to robots for sharing the x information at every single moment to update information and to obtain the work completed. In order to perform a specific task, a robot needs to acquire a knowledge of the defined mission to achieve of completion of the task. Using the facility of knowledge base the robots can easily make decisions based on the up to date data gathered in the cloud engine. Instead of doing programming for a specific from scratch, this will be very expensive to do this. Subsequently, the cloud engine helps the robots to query the cloud engine and in the result of the query to decide gathered knowledge from the cloud. Other than a compiled program, knowledge assembles and could be constituted in a commutable manner. This process grants the potential to the individualistic update of various parts of the knowledge base by experts in the corresponding domains. The central knowledge base in the cloud robotics, these the cloud knowledge base systems could distantly edit its content and post the updates to a sizeable amount of robots at various locations. In this real-world exceptions are always there to happen, in robotics exceptions could also be happened such as missing information is a big exception which should be handled to accomplish any task. If these exceptions are not handled at a time this can lead to a loss in huge amount and this loss is not refundable so these exceptions need to be handled. By using the cloud engine, this problem can be solved by robots via queried at every step if they have a lack of knowledge. Robots can ask Cloud Engine for the missing information to accomplish the task, and the cloud can solve their exception problem.
Gov't Doc #: 20768
Appears in Collections:PhD Thesis of All Public / Private Sector Universities / DAIs.

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