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Proceedings ArticleDOI

‘Robot-Cloud’: A framework to assist heterogeneous low cost robots

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TLDR
A framework to offer assistance to low cost ROS (Robot Operating System) supported heterogeneous robots in a large environment through cloud by incorporating typical SOA (Service Oriented Architecture) functionality is given.
Abstract
This paper gives a framework to offer assistance to low cost ROS (Robot Operating System) supported heterogeneous robots in a large environment through cloud. To build such a system ‘Robot-Cloud’ is prepared which extends the functionality of a robot. A ‘Robot-Cloud’ is designed and implemented with components like cloud controller, ROS master node, storage unit, Map-reduce computing cluster and robotic services. In this system every robot is facilitated with ROS capability that helps to provide abstraction over hardware, heterogeneity and communication over TCP/IP. All the robots communicate with a master node present at the cloud controller to avail communication with other robots and to request services from the cloud. Our system supports all three basic service models i.e. Saas, PaaS and IaaS by incorporating typical SOA (Service Oriented Architecture) functionality. This approach can also be utilized to achieve a common goal for the networked robots. Finally, some simulation results are given to support the claimed framework.

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Citations
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A brief survey and analysis of multi-robot communication and coordination

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Robotic Services in Cloud Computing Paradigm

TL;DR: The simulation results for service based speech controlled robots with visual programming language (VPL) of Microsoft Development Robotics Studio (MDRS) and implementation of map-reduce computing cluster in robotic cloud are reported.
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Real-Time Characteristics of ROS 2.0 in Multiagent Robot Systems: An Empirical Study

TL;DR: An empirical study that evaluates the real-time performance of ROS 2.0 in both the system and communication software layers and implements a multiagent service robot system to verify the suitability of ROS 1.0 for real-world applications.
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Cloud computing architectures for mobile robotics

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Book ChapterDOI

Cloud robotics with ROS

TL;DR: This chapter presents ECRP, a Platform as a Service solution for building ROS-based cloud robotics applications, and several challenges have to be addressed in order to bridge the gap between cloud and robotic development.
References
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Proceedings Article

ROS: an open-source Robot Operating System

TL;DR: This paper discusses how ROS relates to existing robot software frameworks, and briefly overview some of the available application software which uses ROS.
Journal ArticleDOI

The Google file system

TL;DR: This paper presents file system interface extensions designed to support distributed applications, discusses many aspects of the design, and reports measurements from both micro-benchmarks and real world use.
Book

Service-oriented computing

TL;DR: This series describes the key concepts and abstractions of SOC and the elements of a corresponding engineering methodology and explains how to deploy Web services in accord with current standards.
Proceedings Article

STAIR: Hardware and Software Architecture

TL;DR: The hardware and software integration frameworks used to facilitate the development of these components and to bring them together for the demonstration of the STAIR 1 robot responding to a verbal command to fetch an item are described.
Proceedings ArticleDOI

Fast, Easy, and Cheap: Construction of Statistical Machine Translation Models with MapReduce

TL;DR: This work describes MapReduce implementations of two algorithms used to estimate the parameters for two word alignment models and one phrase-based translation model, all of which rely on maximum likelihood probability estimates.
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This approach can also be utilized to achieve a common goal for the networked robots.