Development of a Survivable Cloud Multi-Robot Framework for Heterogeneous Environments

Cloud robotics is a paradigm that allows for robots to offload computationally intensive and data storage requirements into the cloud by providing a secure and customizable environment. The challenge for cloud robotics is the inherent problem of cloud disconnection. A major assumption made in the de...

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Bibliographic Details
Main Authors: Isaac Osunmakinde, Ramharuk Vikash
Format: Article
Language:English
Published: SAGE Publishing 2014-10-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/58891
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spelling doaj-17cee832fc9f4ede91ff27d6939fa8df2020-11-25T03:32:22ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142014-10-011110.5772/5889110.5772_58891Development of a Survivable Cloud Multi-Robot Framework for Heterogeneous EnvironmentsIsaac Osunmakinde0Ramharuk Vikash1 School of Computing, College of Science, Engineering and Technology, University of South Africa, Johannesburg, Gauteng, South Africa School of Computing, College of Science, Engineering and Technology, University of South Africa, Johannesburg, Gauteng, South AfricaCloud robotics is a paradigm that allows for robots to offload computationally intensive and data storage requirements into the cloud by providing a secure and customizable environment. The challenge for cloud robotics is the inherent problem of cloud disconnection. A major assumption made in the development of the current cloud robotics frameworks is that the connection between the cloud and the robot is always available. However, for multi-robots working in heterogeneous environments, the connection between the cloud and the robots cannot always be guaranteed. This work serves to assist with the challenge of disconnection in cloud robotics by proposing a survivable cloud multi-robotics (SCMR) framework for heterogeneous environments. The SCMR framework leverages the combination of a virtual ad hoc network formed by robot-to-robot communication and a physical cloud infrastructure formed by robot-to-cloud communications. The quality of service (QoS) on the SCMR framework was tested and validated by determining the optimal energy utilization and time of response (ToR) on drivability analysis with and without cloud connection. The design trade-off, including the result, is between the computation energy for the robot execution and the offloading energy for the cloud execution.https://doi.org/10.5772/58891
collection DOAJ
language English
format Article
sources DOAJ
author Isaac Osunmakinde
Ramharuk Vikash
spellingShingle Isaac Osunmakinde
Ramharuk Vikash
Development of a Survivable Cloud Multi-Robot Framework for Heterogeneous Environments
International Journal of Advanced Robotic Systems
author_facet Isaac Osunmakinde
Ramharuk Vikash
author_sort Isaac Osunmakinde
title Development of a Survivable Cloud Multi-Robot Framework for Heterogeneous Environments
title_short Development of a Survivable Cloud Multi-Robot Framework for Heterogeneous Environments
title_full Development of a Survivable Cloud Multi-Robot Framework for Heterogeneous Environments
title_fullStr Development of a Survivable Cloud Multi-Robot Framework for Heterogeneous Environments
title_full_unstemmed Development of a Survivable Cloud Multi-Robot Framework for Heterogeneous Environments
title_sort development of a survivable cloud multi-robot framework for heterogeneous environments
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2014-10-01
description Cloud robotics is a paradigm that allows for robots to offload computationally intensive and data storage requirements into the cloud by providing a secure and customizable environment. The challenge for cloud robotics is the inherent problem of cloud disconnection. A major assumption made in the development of the current cloud robotics frameworks is that the connection between the cloud and the robot is always available. However, for multi-robots working in heterogeneous environments, the connection between the cloud and the robots cannot always be guaranteed. This work serves to assist with the challenge of disconnection in cloud robotics by proposing a survivable cloud multi-robotics (SCMR) framework for heterogeneous environments. The SCMR framework leverages the combination of a virtual ad hoc network formed by robot-to-robot communication and a physical cloud infrastructure formed by robot-to-cloud communications. The quality of service (QoS) on the SCMR framework was tested and validated by determining the optimal energy utilization and time of response (ToR) on drivability analysis with and without cloud connection. The design trade-off, including the result, is between the computation energy for the robot execution and the offloading energy for the cloud execution.
url https://doi.org/10.5772/58891
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