SlideShare a Scribd company logo
1 of 4
Download to read offline
A Survey of Research on Cloud Robotics and Automation
Abstract:
The Cloud infrastructure and its extensive set of Internet-accessible
resources has potential to provide significant benefits to robots and
automation systems. We consider robots and automation systems that rely
on data or code from a network to support their operation, i.e., where not
all sensing, computation, and memory is integrated into a standalone
system. This survey is organized around four potential benefits of the
Cloud: 1) Big Data: access to libraries of images, maps, trajectories, and
descriptive data; 2) Cloud Computing: access to parallel grid computing on
demand for statistical analysis, learning, and motion planning; 3)
Collective Robot Learning: robots sharing trajectories, control policies, and
outcomes; and 4) Human Computation: use of crowd sourcing to tap
human skills for analyzing images and video, classification, learning, and
error recovery. The Cloud can also improve robots and automation systems
by providing access to: a) datasets, publications, models, benchmarks, and
simulation tools; b) open competitions for designs and systems; and c)
open-source software. This survey includes over 150 references on results
and open challenges. A website with new developments and updates is
available at: http://goldberg.berkeley.edu/cloud-robotics/
Existing System:
Cloud Robot and Automation systems can be broadly defined as follows:
Any robot or automation system that relies on either data or code from a network
to support its operation, i.e., where not all sensing, computation, and memory is
integrated into a single standalone system. This definition is intended to
include future systems and many existing systems that involve networked
tele operation or networked groups of mobile robots such as UAVs or
warehouse robots as well as advanced assembly lines, processing plants,
and home automation systems, and systems with computation performed
by humans.
Proposed System:
1) Big Data: access to remote libraries of images, maps, trajectories, and
object data;
2) Cloud Computing: access to parallel grid computing on demand for
statistical analysis, learning, and motion planning;
3) Collective Robot Learning: robots sharing trajectories, control policies,
and outcomes; and
4) Human computation: using crowd sourcing access to remote human
expertise for analyzing images, classification, learning, and error recovery.
This survey also cites examples where the Cloud can enhance robotics and
automation systems by facilitating access to: a) datasets, publications,
models, benchmarks, and simulation tools; b) open competitions for
designs and systems; and c) open-source software.
Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• RAM : 256 Mb.
Software Requirements:
• Operating system : - Windows XP.
• Front End : - JSP
• Back End : - SQL Server
Software Requirements:
• Operating system : - Windows XP.
• Front End : - .Net
• Back End : - SQL Server
A survey of research on cloud robotics and automation

More Related Content

What's hot

Rapyuta:Cloud robotics Platform - by shan
Rapyuta:Cloud robotics Platform - by shanRapyuta:Cloud robotics Platform - by shan
Rapyuta:Cloud robotics Platform - by shanshan km
 
Cloud robotics
Cloud roboticsCloud robotics
Cloud roboticsIIT Bombay
 
slam_research_paper
slam_research_paperslam_research_paper
slam_research_paperVinit Payal
 
A RAPID DEPLOYMENT BIG DATA COMPUTING PLATFORM FOR CLOUD ROBOTICS
A RAPID DEPLOYMENT BIG DATA COMPUTING PLATFORM FOR CLOUD ROBOTICSA RAPID DEPLOYMENT BIG DATA COMPUTING PLATFORM FOR CLOUD ROBOTICS
A RAPID DEPLOYMENT BIG DATA COMPUTING PLATFORM FOR CLOUD ROBOTICSIJCNCJournal
 
Arpan pal icdcn
Arpan pal icdcnArpan pal icdcn
Arpan pal icdcnArpan Pal
 
Planet lab : cloud vs grid computing
Planet lab : cloud vs grid computingPlanet lab : cloud vs grid computing
Planet lab : cloud vs grid computingGaurav Singh
 
Grid computing the grid
Grid computing the gridGrid computing the grid
Grid computing the gridJivan Nepali
 
Cal-(IT)2 Projects with Sun Microsystems
Cal-(IT)2 Projects with Sun MicrosystemsCal-(IT)2 Projects with Sun Microsystems
Cal-(IT)2 Projects with Sun MicrosystemsLarry Smarr
 
Use r 2013 tutorial - r and cloud computing for higher education and research
Use r 2013   tutorial - r and cloud computing for higher education and researchUse r 2013   tutorial - r and cloud computing for higher education and research
Use r 2013 tutorial - r and cloud computing for higher education and researchkchine3
 
Tatsuya Sueki Master thesis
Tatsuya Sueki Master thesisTatsuya Sueki Master thesis
Tatsuya Sueki Master thesispflab
 
Cost savings from auto-scaling of network resources using machine learning
Cost savings from auto-scaling of network resources using machine learningCost savings from auto-scaling of network resources using machine learning
Cost savings from auto-scaling of network resources using machine learningSabidur Rahman
 
Machine learning for decentralized and flying radio devices
Machine learning for decentralized and flying radio devicesMachine learning for decentralized and flying radio devices
Machine learning for decentralized and flying radio devicesITU
 
Cs6703 grid and cloud computing Study material
Cs6703 grid and cloud computing Study materialCs6703 grid and cloud computing Study material
Cs6703 grid and cloud computing Study materialkaleeswaranme
 
Europeana Cloud - Who is Who?
Europeana Cloud - Who is Who?Europeana Cloud - Who is Who?
Europeana Cloud - Who is Who?Europeana
 

What's hot (20)

Rapyuta:Cloud robotics Platform - by shan
Rapyuta:Cloud robotics Platform - by shanRapyuta:Cloud robotics Platform - by shan
Rapyuta:Cloud robotics Platform - by shan
 
Cloud robotics
Cloud roboticsCloud robotics
Cloud robotics
 
slam_research_paper
slam_research_paperslam_research_paper
slam_research_paper
 
A RAPID DEPLOYMENT BIG DATA COMPUTING PLATFORM FOR CLOUD ROBOTICS
A RAPID DEPLOYMENT BIG DATA COMPUTING PLATFORM FOR CLOUD ROBOTICSA RAPID DEPLOYMENT BIG DATA COMPUTING PLATFORM FOR CLOUD ROBOTICS
A RAPID DEPLOYMENT BIG DATA COMPUTING PLATFORM FOR CLOUD ROBOTICS
 
Arpan pal icdcn
Arpan pal icdcnArpan pal icdcn
Arpan pal icdcn
 
Planet lab : cloud vs grid computing
Planet lab : cloud vs grid computingPlanet lab : cloud vs grid computing
Planet lab : cloud vs grid computing
 
Grid Computing
Grid ComputingGrid Computing
Grid Computing
 
Grid computing the grid
Grid computing the gridGrid computing the grid
Grid computing the grid
 
Cal-(IT)2 Projects with Sun Microsystems
Cal-(IT)2 Projects with Sun MicrosystemsCal-(IT)2 Projects with Sun Microsystems
Cal-(IT)2 Projects with Sun Microsystems
 
Grid computing & its applications
Grid computing & its applicationsGrid computing & its applications
Grid computing & its applications
 
Nephele pegasus
Nephele pegasusNephele pegasus
Nephele pegasus
 
Cluster computing
Cluster computingCluster computing
Cluster computing
 
Use r 2013 tutorial - r and cloud computing for higher education and research
Use r 2013   tutorial - r and cloud computing for higher education and researchUse r 2013   tutorial - r and cloud computing for higher education and research
Use r 2013 tutorial - r and cloud computing for higher education and research
 
Tatsuya Sueki Master thesis
Tatsuya Sueki Master thesisTatsuya Sueki Master thesis
Tatsuya Sueki Master thesis
 
Cost savings from auto-scaling of network resources using machine learning
Cost savings from auto-scaling of network resources using machine learningCost savings from auto-scaling of network resources using machine learning
Cost savings from auto-scaling of network resources using machine learning
 
Hawaii Pacific GIS Conference 2012: Natural Resource Management - Coupling Cy...
Hawaii Pacific GIS Conference 2012: Natural Resource Management - Coupling Cy...Hawaii Pacific GIS Conference 2012: Natural Resource Management - Coupling Cy...
Hawaii Pacific GIS Conference 2012: Natural Resource Management - Coupling Cy...
 
Machine learning for decentralized and flying radio devices
Machine learning for decentralized and flying radio devicesMachine learning for decentralized and flying radio devices
Machine learning for decentralized and flying radio devices
 
DGterzo
DGterzoDGterzo
DGterzo
 
Cs6703 grid and cloud computing Study material
Cs6703 grid and cloud computing Study materialCs6703 grid and cloud computing Study material
Cs6703 grid and cloud computing Study material
 
Europeana Cloud - Who is Who?
Europeana Cloud - Who is Who?Europeana Cloud - Who is Who?
Europeana Cloud - Who is Who?
 

Similar to A survey of research on cloud robotics and automation

Cloud robotics and automation
Cloud robotics and automationCloud robotics and automation
Cloud robotics and automationSania Shoaib
 
Unit i introduction to grid computing
Unit i   introduction to grid computingUnit i   introduction to grid computing
Unit i introduction to grid computingsudha kar
 
A Case Study On Implementation Of Grid Computing To Academic Institution
A Case Study On Implementation Of Grid Computing To Academic InstitutionA Case Study On Implementation Of Grid Computing To Academic Institution
A Case Study On Implementation Of Grid Computing To Academic InstitutionArlene Smith
 
CloudComputingJun28.ppt
CloudComputingJun28.pptCloudComputingJun28.ppt
CloudComputingJun28.pptVipin Singhal
 
CloudComputingJun28.ppt
CloudComputingJun28.pptCloudComputingJun28.ppt
CloudComputingJun28.pptgeminass1
 
How Cyber-Physical Systems Are Reshaping the Robotics Landscape
How Cyber-Physical Systems Are Reshaping the Robotics LandscapeHow Cyber-Physical Systems Are Reshaping the Robotics Landscape
How Cyber-Physical Systems Are Reshaping the Robotics LandscapeCognizant
 
Digital Security by Design: ISCF Digital Security by Design Research Projects...
Digital Security by Design: ISCF Digital Security by Design Research Projects...Digital Security by Design: ISCF Digital Security by Design Research Projects...
Digital Security by Design: ISCF Digital Security by Design Research Projects...KTN
 
AI-Driven Science and Engineering with the Global AI and Modeling Supercomput...
AI-Driven Science and Engineering with the Global AI and Modeling Supercomput...AI-Driven Science and Engineering with the Global AI and Modeling Supercomput...
AI-Driven Science and Engineering with the Global AI and Modeling Supercomput...Geoffrey Fox
 
Maharashtra state board IT science Chap 4.pdf
Maharashtra state board IT science Chap 4.pdfMaharashtra state board IT science Chap 4.pdf
Maharashtra state board IT science Chap 4.pdfAAFREEN SHAIKH
 
Introduction to Grid Computing
Introduction to Grid ComputingIntroduction to Grid Computing
Introduction to Grid Computingabhijeetnawal
 
CLOUD-BASED MULTIMEDIA CONTENT PROTECTION SYSTEM
CLOUD-BASED MULTIMEDIA CONTENT PROTECTION SYSTEMCLOUD-BASED MULTIMEDIA CONTENT PROTECTION SYSTEM
CLOUD-BASED MULTIMEDIA CONTENT PROTECTION SYSTEMShakas Technologies
 
AIOps: Anomalies Detection of Distributed Traces
AIOps: Anomalies Detection of Distributed TracesAIOps: Anomalies Detection of Distributed Traces
AIOps: Anomalies Detection of Distributed TracesJorge Cardoso
 
College_Tech-seminar_2024_Indrajith.pptx
College_Tech-seminar_2024_Indrajith.pptxCollege_Tech-seminar_2024_Indrajith.pptx
College_Tech-seminar_2024_Indrajith.pptxIndrajithN1
 
EUBraBIGSEA Final results
EUBraBIGSEA Final resultsEUBraBIGSEA Final results
EUBraBIGSEA Final resultsATMOSPHERE .
 
AIOps: Anomalous Span Detection in Distributed Traces Using Deep Learning
AIOps: Anomalous Span Detection in Distributed Traces Using Deep LearningAIOps: Anomalous Span Detection in Distributed Traces Using Deep Learning
AIOps: Anomalous Span Detection in Distributed Traces Using Deep LearningJorge Cardoso
 

Similar to A survey of research on cloud robotics and automation (20)

Cloud robotics and automation
Cloud robotics and automationCloud robotics and automation
Cloud robotics and automation
 
Unit i introduction to grid computing
Unit i   introduction to grid computingUnit i   introduction to grid computing
Unit i introduction to grid computing
 
A Case Study On Implementation Of Grid Computing To Academic Institution
A Case Study On Implementation Of Grid Computing To Academic InstitutionA Case Study On Implementation Of Grid Computing To Academic Institution
A Case Study On Implementation Of Grid Computing To Academic Institution
 
CloudComputingJun28.ppt
CloudComputingJun28.pptCloudComputingJun28.ppt
CloudComputingJun28.ppt
 
CloudComputingJun28.ppt
CloudComputingJun28.pptCloudComputingJun28.ppt
CloudComputingJun28.ppt
 
CloudComputingJun28.ppt
CloudComputingJun28.pptCloudComputingJun28.ppt
CloudComputingJun28.ppt
 
How Cyber-Physical Systems Are Reshaping the Robotics Landscape
How Cyber-Physical Systems Are Reshaping the Robotics LandscapeHow Cyber-Physical Systems Are Reshaping the Robotics Landscape
How Cyber-Physical Systems Are Reshaping the Robotics Landscape
 
Digital Security by Design: ISCF Digital Security by Design Research Projects...
Digital Security by Design: ISCF Digital Security by Design Research Projects...Digital Security by Design: ISCF Digital Security by Design Research Projects...
Digital Security by Design: ISCF Digital Security by Design Research Projects...
 
AI-Driven Science and Engineering with the Global AI and Modeling Supercomput...
AI-Driven Science and Engineering with the Global AI and Modeling Supercomput...AI-Driven Science and Engineering with the Global AI and Modeling Supercomput...
AI-Driven Science and Engineering with the Global AI and Modeling Supercomput...
 
Maharashtra state board IT science Chap 4.pdf
Maharashtra state board IT science Chap 4.pdfMaharashtra state board IT science Chap 4.pdf
Maharashtra state board IT science Chap 4.pdf
 
Introduction to Grid Computing
Introduction to Grid ComputingIntroduction to Grid Computing
Introduction to Grid Computing
 
GRID COMPUTING.ppt
GRID COMPUTING.pptGRID COMPUTING.ppt
GRID COMPUTING.ppt
 
CLOUD-BASED MULTIMEDIA CONTENT PROTECTION SYSTEM
CLOUD-BASED MULTIMEDIA CONTENT PROTECTION SYSTEMCLOUD-BASED MULTIMEDIA CONTENT PROTECTION SYSTEM
CLOUD-BASED MULTIMEDIA CONTENT PROTECTION SYSTEM
 
AIOps: Anomalies Detection of Distributed Traces
AIOps: Anomalies Detection of Distributed TracesAIOps: Anomalies Detection of Distributed Traces
AIOps: Anomalies Detection of Distributed Traces
 
FIWARE and Smart Data Models
FIWARE and Smart Data ModelsFIWARE and Smart Data Models
FIWARE and Smart Data Models
 
College_Tech-seminar_2024_Indrajith.pptx
College_Tech-seminar_2024_Indrajith.pptxCollege_Tech-seminar_2024_Indrajith.pptx
College_Tech-seminar_2024_Indrajith.pptx
 
EUBraBIGSEA Final results
EUBraBIGSEA Final resultsEUBraBIGSEA Final results
EUBraBIGSEA Final results
 
AIOps: Anomalous Span Detection in Distributed Traces Using Deep Learning
AIOps: Anomalous Span Detection in Distributed Traces Using Deep LearningAIOps: Anomalous Span Detection in Distributed Traces Using Deep Learning
AIOps: Anomalous Span Detection in Distributed Traces Using Deep Learning
 
CTE Phase III
CTE Phase IIICTE Phase III
CTE Phase III
 
Grid Presentation
Grid PresentationGrid Presentation
Grid Presentation
 

More from ieeepondy

Demand aware network function placement
Demand aware network function placementDemand aware network function placement
Demand aware network function placementieeepondy
 
Service description in the nfv revolution trends, challenges and a way forward
Service description in the nfv revolution trends, challenges and a way forwardService description in the nfv revolution trends, challenges and a way forward
Service description in the nfv revolution trends, challenges and a way forwardieeepondy
 
Secure optimization computation outsourcing in cloud computing a case study o...
Secure optimization computation outsourcing in cloud computing a case study o...Secure optimization computation outsourcing in cloud computing a case study o...
Secure optimization computation outsourcing in cloud computing a case study o...ieeepondy
 
Spatial related traffic sign inspection for inventory purposes using mobile l...
Spatial related traffic sign inspection for inventory purposes using mobile l...Spatial related traffic sign inspection for inventory purposes using mobile l...
Spatial related traffic sign inspection for inventory purposes using mobile l...ieeepondy
 
Standards for hybrid clouds
Standards for hybrid cloudsStandards for hybrid clouds
Standards for hybrid cloudsieeepondy
 
Rfhoc a random forest approach to auto-tuning hadoop's configuration
Rfhoc a random forest approach to auto-tuning hadoop's configurationRfhoc a random forest approach to auto-tuning hadoop's configuration
Rfhoc a random forest approach to auto-tuning hadoop's configurationieeepondy
 
Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...ieeepondy
 
Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...ieeepondy
 
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...ieeepondy
 
Scalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of thingsScalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of thingsieeepondy
 
Scalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory dataScalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory dataieeepondy
 
Robust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centersRobust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centersieeepondy
 
Privacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learningPrivacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learningieeepondy
 
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...ieeepondy
 
Protection of big data privacy
Protection of big data privacyProtection of big data privacy
Protection of big data privacyieeepondy
 
Power optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ranPower optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ranieeepondy
 
Performance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auctionPerformance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auctionieeepondy
 
Performance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instancesPerformance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instancesieeepondy
 
Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...ieeepondy
 
Predictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacentersPredictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacentersieeepondy
 

More from ieeepondy (20)

Demand aware network function placement
Demand aware network function placementDemand aware network function placement
Demand aware network function placement
 
Service description in the nfv revolution trends, challenges and a way forward
Service description in the nfv revolution trends, challenges and a way forwardService description in the nfv revolution trends, challenges and a way forward
Service description in the nfv revolution trends, challenges and a way forward
 
Secure optimization computation outsourcing in cloud computing a case study o...
Secure optimization computation outsourcing in cloud computing a case study o...Secure optimization computation outsourcing in cloud computing a case study o...
Secure optimization computation outsourcing in cloud computing a case study o...
 
Spatial related traffic sign inspection for inventory purposes using mobile l...
Spatial related traffic sign inspection for inventory purposes using mobile l...Spatial related traffic sign inspection for inventory purposes using mobile l...
Spatial related traffic sign inspection for inventory purposes using mobile l...
 
Standards for hybrid clouds
Standards for hybrid cloudsStandards for hybrid clouds
Standards for hybrid clouds
 
Rfhoc a random forest approach to auto-tuning hadoop's configuration
Rfhoc a random forest approach to auto-tuning hadoop's configurationRfhoc a random forest approach to auto-tuning hadoop's configuration
Rfhoc a random forest approach to auto-tuning hadoop's configuration
 
Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...Resource and instance hour minimization for deadline constrained dag applicat...
Resource and instance hour minimization for deadline constrained dag applicat...
 
Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...Reliable and confidential cloud storage with efficient data forwarding functi...
Reliable and confidential cloud storage with efficient data forwarding functi...
 
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
Rebuttal to “comments on ‘control cloud data access privilege and anonymity w...
 
Scalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of thingsScalable cloud–sensor architecture for the internet of things
Scalable cloud–sensor architecture for the internet of things
 
Scalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory dataScalable algorithms for nearest neighbor joins on big trajectory data
Scalable algorithms for nearest neighbor joins on big trajectory data
 
Robust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centersRobust workload and energy management for sustainable data centers
Robust workload and energy management for sustainable data centers
 
Privacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learningPrivacy preserving deep computation model on cloud for big data feature learning
Privacy preserving deep computation model on cloud for big data feature learning
 
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
Pricing the cloud ieee projects, ieee projects chennai, ieee projects 2016,ie...
 
Protection of big data privacy
Protection of big data privacyProtection of big data privacy
Protection of big data privacy
 
Power optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ranPower optimization with bler constraint for wireless fronthauls in c ran
Power optimization with bler constraint for wireless fronthauls in c ran
 
Performance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auctionPerformance aware cloud resource allocation via fitness-enabled auction
Performance aware cloud resource allocation via fitness-enabled auction
 
Performance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instancesPerformance limitations of a text search application running in cloud instances
Performance limitations of a text search application running in cloud instances
 
Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...Performance analysis and optimal cooperative cluster size for randomly distri...
Performance analysis and optimal cooperative cluster size for randomly distri...
 
Predictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacentersPredictive control for energy aware consolidation in cloud datacenters
Predictive control for energy aware consolidation in cloud datacenters
 

Recently uploaded

“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsKarinaGenton
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfUmakantAnnand
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfakmcokerachita
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 

Recently uploaded (20)

“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its Characteristics
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.Compdf
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdf
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 

A survey of research on cloud robotics and automation

  • 1. A Survey of Research on Cloud Robotics and Automation Abstract: The Cloud infrastructure and its extensive set of Internet-accessible resources has potential to provide significant benefits to robots and automation systems. We consider robots and automation systems that rely on data or code from a network to support their operation, i.e., where not all sensing, computation, and memory is integrated into a standalone system. This survey is organized around four potential benefits of the Cloud: 1) Big Data: access to libraries of images, maps, trajectories, and descriptive data; 2) Cloud Computing: access to parallel grid computing on demand for statistical analysis, learning, and motion planning; 3) Collective Robot Learning: robots sharing trajectories, control policies, and outcomes; and 4) Human Computation: use of crowd sourcing to tap human skills for analyzing images and video, classification, learning, and error recovery. The Cloud can also improve robots and automation systems by providing access to: a) datasets, publications, models, benchmarks, and simulation tools; b) open competitions for designs and systems; and c) open-source software. This survey includes over 150 references on results and open challenges. A website with new developments and updates is available at: http://goldberg.berkeley.edu/cloud-robotics/
  • 2. Existing System: Cloud Robot and Automation systems can be broadly defined as follows: Any robot or automation system that relies on either data or code from a network to support its operation, i.e., where not all sensing, computation, and memory is integrated into a single standalone system. This definition is intended to include future systems and many existing systems that involve networked tele operation or networked groups of mobile robots such as UAVs or warehouse robots as well as advanced assembly lines, processing plants, and home automation systems, and systems with computation performed by humans. Proposed System: 1) Big Data: access to remote libraries of images, maps, trajectories, and object data; 2) Cloud Computing: access to parallel grid computing on demand for statistical analysis, learning, and motion planning; 3) Collective Robot Learning: robots sharing trajectories, control policies, and outcomes; and 4) Human computation: using crowd sourcing access to remote human expertise for analyzing images, classification, learning, and error recovery.
  • 3. This survey also cites examples where the Cloud can enhance robotics and automation systems by facilitating access to: a) datasets, publications, models, benchmarks, and simulation tools; b) open competitions for designs and systems; and c) open-source software. Hardware Requirements: • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Floppy Drive : 1.44 Mb. • Monitor : 15 VGA Colour. • Mouse : Logitech. • RAM : 256 Mb. Software Requirements: • Operating system : - Windows XP. • Front End : - JSP • Back End : - SQL Server Software Requirements: • Operating system : - Windows XP. • Front End : - .Net • Back End : - SQL Server