Robotic Services in Cloud Computing Paradigm

Doriya, Rajesh; Chakraborty, Pavan; Nandi, Gora Chand

doi:10.1109/iscos.2012.24

Cited by 32 publications

(9 citation statements)

References 6 publications

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“…Doriya, Chakraborty and Nandi [11] present a cloudbased service-oriented architecture similar to what we are aiming for. However, they focus on mobile robotics rather than industrial robotics and thus offer services such as navigation and map building.…”

Section: Related Workmentioning

confidence: 99%

Control of robots and machine tools with an extended factory cloud

Vick

Horn

Rudorfer

et al. 2015

2015 IEEE World Conference on Factory Communication Systems (WFCS)

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This paper describes our concept for control of robots and machine tools through a private factory cloud which is dynamically extended by additional public resources. After discussing the opportunities and drawbacks of the virtualization of robot controllers (RC) and software programmable logic controllers (soft-PLC), we present first experiences with the setup of private and public infrastructures. Finally, we introduce our experimental design for investigating the requirements of machine control algorithms regarding availability, dependability and realtime capability in local and public configurations.978-1-4799-8244-8/15/$31.00 ©2015 IEEE

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Section: Related Workmentioning

confidence: 99%

Control of robots and machine tools with an extended factory cloud

Vick

Horn

Rudorfer

et al. 2015

2015 IEEE World Conference on Factory Communication Systems (WFCS)

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“…In EC->R, robotic platforms do not provide or use services to I from other robotic platform and only use external cloud recourses; in IC->R, robotic platform consume resources only from other platform in the robotic system. [12,22,23] are examples of EC->R systems and [20] is classic example for IC->R.…”

Section: Taxonomy For Cloud Roboticsmentioning

confidence: 99%

“…There is a lack of papers where usage of common PaaS services is described, but in some work PaaS model used for robot-specific applications [11]. [12] is example ofXaaS approach.…”

Section: Taxonomy For Cloud Roboticsmentioning

confidence: 99%

“…The core of proposed architecture is Workflow Management System; it provides layered service infrastructure and is based on popular Grid framework. Paper [12] introduces 'Robot-Cloud' -framework for low cost robots that allow offloading resource intensive computation to the remote cloud nodes. The framework uses Service Oriented Architecture (SOA) to provide services of map building, path planning and object recognition; by utilization of well-known robotic software packages, as ROS [13] and Webots, it provides development platform that also delivered as a service; furthermore, by utilization of Map-Reduce it gives ability to offload some general algorithms execution from mobile platform to compute cluster.…”

Section: Introductionmentioning

confidence: 99%

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Cloud computing architectures for mobile robotics

Dyumin

Puzikov

Rovnyagin

et al. 2015

2015 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

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in last decade, classic IT-infrastructures in modern enterprises have been changed sufficiently by cloud computing. However, cloud approach can be used effectively in other applications. In this paper, we explore applicability of cloud paradigm in mobile robotics. First approach is using some classic cloud architectures, such as Infrastructure-as-a-Service, Platform-as-a-Service and Software-as-a-Service, with heterogeneous distributed mobile robotic system -for example, it can be used to offload a time consuming computations from mobile platforms to remote nodes or services. Second approach is using some special "robotic" types of clouds, such as Robot-as-aService and Function-as-a-Service to leverage abilities of a single robotics platform in mobile robotic system as services to robotic system's users or other mobile robotic platforms. We explore both approaches and give them some architectural examples.

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“…These benefits make cloud computing an ideal candidate for application provisioning in robotics. The state of the art in cloud-based robotic application provisioning can be grouped under two categories: robotic applications that are offered as cloud services (e.g., [2] and [3]); and robotic applications that re-use third party applications (e.g. [4] and [5]).…”

Section: Introductionmentioning

confidence: 99%

Towards cloud-based architectures for robotic applications provisioning

Errounda

Belqasmi

Glitho

2013

2013 Fourth International Conference on the Network of the Future (NoF)

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Robotic applications are widely used in various domains (e.g. healthcare, agriculture). However, provisioning them in a cost-efficient manner remains an uphill task. Cloud computing is a new paradigm with three key facets: Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Rapid application development/deployment, pay-per-use and efficient use of resources are among the expected benefits. Cloud computing is a promising technology for application provisioning and can bring robotic application provisioning to the next level. This paper identifies the shortcomings of the state of the art in cloud-based architectures for robotic applications provisioning. It sketches an overall business model to tackle the identified shortcomings. It proposes an overlay-based architecture to handle the cloud interactions aspects of the proposed business model. The implementation aspects of the overlay-based architecture are discussed. Research directions are also identified.

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Robotic Services in Cloud Computing Paradigm

Cited by 32 publications

References 6 publications

Control of robots and machine tools with an extended factory cloud

Control of robots and machine tools with an extended factory cloud

Cloud computing architectures for mobile robotics

Towards cloud-based architectures for robotic applications provisioning

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