Submission Deadline: 1 July 2018
Submission Deadline: 1 July 2018
IEEE Access invites manuscript submissions in the area of Cloud-based Robotic Systems for Intelligent Services.
Recent advances in sensor/actuator as well as artificial intelligence (AI) technologies have made it possible for mobile robots such as autonomous automobiles and autonomous unmanned aerial vehicles to go about performing their tasks in varied environments. With wireless communications, these mobile robots can be connected to each other to exchange information, coordinate their movements, and cooperate to perform more extensive tasks, forming robotic systems. Using wireless communications, such robotic systems can further be connected to cloud computing services via the mobile Internet, which offers the potential to significantly enhance the capabilities of such robotic systems. Thus cloud-based robotic systems offer great promises for intelligent services beyond the capabilities of current robots or robotic systems.
First, robot systems employing advanced AI techniques that leverage multiple layer artificial neural networks for deep learning can enable intelligent services that learn from past experience to plan a course of actions that optimizes some task objectives, e.g., minimizing energy consumption, for the current environmental conditions. However, these machine learning techniques are computation intensive and may not be well supported by individual robotic systems. In contrast, cloud computing services offer virtually unlimited computation resources on-demand in a scalable manner, greatly facilitating the use of advanced AI techniques in robotic systems. Second, widespread deployment of robotic systems employing a large number of sensors results in a massive amount of data being generated over short periods of time. Cloud-based big data analytics can be employed to derive useful information to enhance the utility of cloud-based robotic systems. For example, applying big data analytics to data collected from a large number of cloud-based robotic systems, a manufacturer may be able to determine that a batch of sensors manufactured by this company is defective. Third, it is conceivable that in the future distributed general purpose robotic units connected to the cloud can be dynamically configured and programmed to form logical robotic systems under software control to perform specific services in a virtualized manner, i.e., cloud-based robotic systems can provide software-defined robotic system as a service.
Cloud computing platforms would be crucial to enable a programming environment capable of fast service creation, as well as an operational and management environment to ensure that these intelligent robotic services can operate reliably and be properly managed.
Based on the above observations, we can see that cloud-based robotic systems offer great potential for intelligent services in both the short and longer term, but there are many technical challenges that need to be addressed.
Some of the technical challenges and potential applications of cloud-based robotic systems include but are not limited to:
The main objective of this Special Section in IEEE Access is to collect multidisciplinary research contributions on technological breakthrough and advancement towards cloud-based robotic systems for intelligent services. Topics explored in this Special Section include, but are not limited, to the following aspects of intelligent services involving cloud-based robotic systems:
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Associate Editor: Prof. Xiping Hu, Chinese Academy of Sciences, China
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IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
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