What is Cloud Robotics?
Cloud robotics is the use of cloud computing, cloud storage, and other internet technologies in the field of robotics.
History of Cloud Robotics
James Kuffner of Google coined the term “Cloud Robotics” in 2010. Cloud robotics is an intersection between robotics, cloud computing, deep learning, big data, and internet of things, and other emerging technologies. It is a field of robotics where robots rely on the internet network to implement their functions.
Components of Cloud Robotics
First, A global library of images, maps, and object data. It often includes geometry and mechanical properties, expert systems, and knowledge base; Second, Massively-parallel computation on demand to allow sample-based statistical modeling and motion planning, task planning, multi-robot collaboration, scheduling, and coordination; Third Shared outcomes, trajectories, and dynamic control policies as well as robot learning support; Fourth is “Open-source” code, data, and designs for easy programming, experimentation, and hardware construction; Fifth On-demand human guidance and assistance for evaluation, learning, and error recovery; And last Augmented human-robot interaction
Importance of Cloud Robotics
Imagine someone whose mind is always linked to the internet and has the ability to extract information from it. To you, this is cloud robotics. When this happens, the robot obtains access to all the cloud has to offer, including storage, powerful processing, and communication capabilities, resulting in a relatively light, adaptable, and low-cost robot connected to the cloud and all of its data.
Applications of Cloud Robotics
Cloud robotics can help in many different fields including medical, military, and industrial use cases. It can also be used for data gathering and analysis. Also, Robotic devices can tap into cloud-based databases of maps like Google Streetview or Mapbox to map out the path for delivering goods. A series of industrial robotic devices can process a custom order, manufacture the order, and deliver it all on its own—without human operators. Healthcare robotic device accesses the medical cloud infrastructure to provide clinical services to patients and assist surgeons in live surgeries.
Difference between Cloud Robotics and Automation
The use of cloud technology is the primary distinction between cloud robotics and generic automation. Automation is the use of computer software, machinery, or other technology to do an activity that would otherwise be completed by a human. And, the process of developing, constructing, and deploying robots to execute a certain activity is known as robotics.
Advantages of Cloud Robotics
Cloud Robotics offers many benefits to both users and providers. For example, it can provide access to resources that would otherwise be unavailable to an individual or small team. It also allows for the quick scaling of experiments without requiring any additional hardware or software setup.
Cloud Robotics: It’s time to offload their brain on Cloud, for better Robotic...Sai Natkar
Cloud robotics is an emerging field of robotics ingrained in cloud computing. It allows robots to benefit from the powerful computational, storage, and communications resources of modern data centers.When computational or storage demands exceed the on-board capacity of a robot, they are offloaded to the cloud, where the massive resources of a datacenter can supplement their limited local resources.
A quick overview of the possible business models of the cloud computing companies. Done for Tampere University of Technology seminar course about cloud computing ( http://www.cs.tut.fi/~tsysta/Pilvilaskenta.html ).
This PPT provides an introduction to cloud Computing. It briefly talks about fundamental cloud services, deployment models and the factors that made it an emerging paradigm.
What is Cloud Robotics?
Cloud robotics is the use of cloud computing, cloud storage, and other internet technologies in the field of robotics.
History of Cloud Robotics
James Kuffner of Google coined the term “Cloud Robotics” in 2010. Cloud robotics is an intersection between robotics, cloud computing, deep learning, big data, and internet of things, and other emerging technologies. It is a field of robotics where robots rely on the internet network to implement their functions.
Components of Cloud Robotics
First, A global library of images, maps, and object data. It often includes geometry and mechanical properties, expert systems, and knowledge base; Second, Massively-parallel computation on demand to allow sample-based statistical modeling and motion planning, task planning, multi-robot collaboration, scheduling, and coordination; Third Shared outcomes, trajectories, and dynamic control policies as well as robot learning support; Fourth is “Open-source” code, data, and designs for easy programming, experimentation, and hardware construction; Fifth On-demand human guidance and assistance for evaluation, learning, and error recovery; And last Augmented human-robot interaction
Importance of Cloud Robotics
Imagine someone whose mind is always linked to the internet and has the ability to extract information from it. To you, this is cloud robotics. When this happens, the robot obtains access to all the cloud has to offer, including storage, powerful processing, and communication capabilities, resulting in a relatively light, adaptable, and low-cost robot connected to the cloud and all of its data.
Applications of Cloud Robotics
Cloud robotics can help in many different fields including medical, military, and industrial use cases. It can also be used for data gathering and analysis. Also, Robotic devices can tap into cloud-based databases of maps like Google Streetview or Mapbox to map out the path for delivering goods. A series of industrial robotic devices can process a custom order, manufacture the order, and deliver it all on its own—without human operators. Healthcare robotic device accesses the medical cloud infrastructure to provide clinical services to patients and assist surgeons in live surgeries.
Difference between Cloud Robotics and Automation
The use of cloud technology is the primary distinction between cloud robotics and generic automation. Automation is the use of computer software, machinery, or other technology to do an activity that would otherwise be completed by a human. And, the process of developing, constructing, and deploying robots to execute a certain activity is known as robotics.
Advantages of Cloud Robotics
Cloud Robotics offers many benefits to both users and providers. For example, it can provide access to resources that would otherwise be unavailable to an individual or small team. It also allows for the quick scaling of experiments without requiring any additional hardware or software setup.
Cloud Robotics: It’s time to offload their brain on Cloud, for better Robotic...Sai Natkar
Cloud robotics is an emerging field of robotics ingrained in cloud computing. It allows robots to benefit from the powerful computational, storage, and communications resources of modern data centers.When computational or storage demands exceed the on-board capacity of a robot, they are offloaded to the cloud, where the massive resources of a datacenter can supplement their limited local resources.
A quick overview of the possible business models of the cloud computing companies. Done for Tampere University of Technology seminar course about cloud computing ( http://www.cs.tut.fi/~tsysta/Pilvilaskenta.html ).
This PPT provides an introduction to cloud Computing. It briefly talks about fundamental cloud services, deployment models and the factors that made it an emerging paradigm.
Cloud computing :
Accessibility: Cloud computing facilitates the access of applications and data from any location worldwide and from any device with an internet connection.
Cost savings: Cloud computing offers businesses scalable computing resources hence saving them on the cost of acquiring and maintaining them.
Security: Cloud providers especially those offering private cloud services, have strived to implement the best security standards and procedures in order to protect client’s data saved in the cloud.
Disaster recovery: Cloud computing offers the most efficient means for small, medium, and even large enterprises to backup and restore their data and applications in a fast and reliable way.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
Implementing this concept is not an easy task by any measure for many reasons including the complex nature of the different components of the ecosystem of IoT. To understand the gravity of this task, we will explain all the five components of IoT Implementation
Cloud computing is a releasing individual and institutions from the traditional cvcle of buying-using-maintaining-upgrading IT resourcs - both hardware and software. Instead it is making IT resource accessible from anywhere and at proportions as required by the end user. Here is a brief introduction to this new transformation
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
Many teams in the world are working on the topic Cloud Robotics. This talk introduce you how to connect the Nao robot with the cloud to share knowledge about objects, plans and environments with other robots. With this approach it is possible, that heterogeneous robots can exchange executable robot apps among eachother. The RoboEarth webservice will be used to store robotic-specific information. Robots are able to share knowledge via RoboEarth. So Robots are not longer on their own - they can benefit from the experience other robots.
Cloud computing :
Accessibility: Cloud computing facilitates the access of applications and data from any location worldwide and from any device with an internet connection.
Cost savings: Cloud computing offers businesses scalable computing resources hence saving them on the cost of acquiring and maintaining them.
Security: Cloud providers especially those offering private cloud services, have strived to implement the best security standards and procedures in order to protect client’s data saved in the cloud.
Disaster recovery: Cloud computing offers the most efficient means for small, medium, and even large enterprises to backup and restore their data and applications in a fast and reliable way.
Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive.In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a real-time communication network such as the Internet.
Implementing this concept is not an easy task by any measure for many reasons including the complex nature of the different components of the ecosystem of IoT. To understand the gravity of this task, we will explain all the five components of IoT Implementation
Cloud computing is a releasing individual and institutions from the traditional cvcle of buying-using-maintaining-upgrading IT resourcs - both hardware and software. Instead it is making IT resource accessible from anywhere and at proportions as required by the end user. Here is a brief introduction to this new transformation
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
Many teams in the world are working on the topic Cloud Robotics. This talk introduce you how to connect the Nao robot with the cloud to share knowledge about objects, plans and environments with other robots. With this approach it is possible, that heterogeneous robots can exchange executable robot apps among eachother. The RoboEarth webservice will be used to store robotic-specific information. Robots are able to share knowledge via RoboEarth. So Robots are not longer on their own - they can benefit from the experience other robots.
PHP Australia is aimed at proficient developers, new developers and people who care about developers. Our events are all about working together to inspire each other to greater heights in our skill and share our passion for coding.
http://www.phpconference.com.au/
DrupalSouth is a non-profit conference run by a team of volunteers from the community with the fiscal and legal support provided by Linux Australia Inc. As the fiscal and legal sponsor of DrupalSouth, Linux Australia provides accounting resources, bank accounts and insurance certificates. Any surplus funds generated by the event are returned to Linux Australia to continue to invest in Australia's open source community.
https://melbourne2015.drupal.org.au
Epicenter: Powering Performance & Productivity – Dr. James A. Goenner & Jason L. Sarsfield, National Charter Schools Institute (Northern Michigan University, 9/18/2014)
In this session we will look at ways that startup can be bootstrapped to allow a beta version of a platform or idea to be built out and tested quite cheaply
Building the future as a full stack devSteven Cooper
As developers we deal with an ever-changing and always growing industry, with new and exciting ways of being able to deliver awesome projects keeping up with any one single stream is always something a developer needs to keep on top of. From backend, frontend and ops, the opportunities to build cool things within each stream is endless.
From Lua, Ruby and Node we can look at the similarities between some of the core languages and how you can use the knowledge of one to build into another, learning at least the fundamental behaviour within a stream language or bridging into a new stream.
In this talk, I will share my experience of working on projects for some big name companies as a developer and why being polyglot was an important part of being able to deliver scalable projects on time and for being able to manage a team of developers for busy and thriving digital agencies.
The Wizardry of Braintree hosted fields - PHPSteven Cooper
From my last talk at the PHP Wellington meetup, note this has animation that may not show on slideshare.
With the help of actors (yes digital actors!) we will look at the magic that is hosted fields covering not only how you can accept payments into any form but how you can do it with (CSS) style and still be super PCI complaint
This report explores the untapped e-commerce revenue opportunity for software developers, both those working on mobile apps and Internet of Things (IoT) projects. Case studies – from Amazon to Zalando – show how connected devices, frictionless discovery and payment are changing e- commerce. This leads to a prediction of the e-commerce industry future which will be structurally disrupted, as IoT extends e-commerce affiliate schemes beyond websites, mobile, and apps, onto any physical surface.
Read more VisionMobile reports here: http://www.visionmobile.com/product
Why don't you have all your home devices connected to the internet yet? Here we will present the KNoT meta-platform, an interoperability solution for IoT.
This Presentation will give you the introduction to Cloud Computing. This PPT was presented by me as an assignment in my final year of B.Tech degree. I hope it would prove beneficial to your understanding of this subject. Thank You!
Two Parts
Part One: Overview of Cloud Computing, Definition, History, Cloud Service Models, Cloud Storage Types, Visualization etc.
Part Two: Open Source Cloud Computing
Open Source Hyper-visors
Development of CloudStack
Installation Overview
Conclusion
Cloud Computing refers to manipulating, configuring, and accessing the applications online. It offers online data storage, infrastructure and application.
Cloud Computing is both a combination of software and hardware based computing resources delivered as a network service.
Basic Concepts:
There are certain services and models working behind the scene making the cloud computing feasible and accessible to end users. Following are the working models for cloud computing:
1. Deployment Models
2. Service Models
It's a simple presentation I did it with my friend Khawlah Al-Mazyd last year as a one topic should we cover it through doing Advanced Network course.
2010 - King Saud Universty
Riyadh - Saudi Arabia
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
3. • concept of cloud computing dates back to the 1960s, to
John McCarthy.
• The term "cloud" is used as a metaphor for the Internet
Cloud computing
Using multiple server
computers
via a digital network,
as though they were one
Computer.
the services available
are considered part of cloud.
4. Cloud Provides..
• Device and location independence
• Significant workload shift from the local computers
• Sharing of resources and costs across a large pool
of users
• High reliability and efficiency.
• Improved security due to centralization of data
• Easiness in supporting and improving a software
• Scalable - dynamic provisioning of resources
5. ROS (Robotic Operating System)
• Software framework for robot
software development.
• Developed in 2007 under the
name switchyard by the
Stanford Artificial Intelligence
Laboratory in support of the STAIR.
• Based on graph architecture & is geared toward a
Unix-like system.
6. ROS is…
• Peer-to-peer
• Multi-lingual
• Tools-based
• Thin
• Free and Open-Source
• Exponentially growing
• Used in many applications
7. What Robots can do if connected to
Cloud ???
Understand
Receive Share
& React
8. MESSAGING MECHANISM
Publication Subscription
Service Invocation
• The ROS platform is used as framework for our
robotic environment.
• ROS provides flexible modular communication mechanism
for exchanging messages between nodes
• Nodes are processes running on robots.
TOPIC
NODE NODE
9. Robot Cloud Centre(RCC)
• In RCC system, each robot plays the role of a typical
cloud resource.
• All the robots form a robot cloud-providing services to
external service consumers.
Features
• Compatibility
• Reusability
• Extensibility
• Easy update
11. • ARCHITECTURE
• End users access system by “Robot Cloud Panel”.
• They request and obtain the service from the robots
• The “Service Broker” provides web user- interface and web
services interface.
• “Mapping Layer” and the “Robot Cloud Units” are designed as
back- end systems.
12. Robot cloud units : communicate with other parts of the system, and
also required to interact with each other.
• Infrastructure is composed of the hardware devices of robot and the
operating system and device drivers..
• WSDL Interface Robots must interact with other parts of the system,
or interact with other robots, and we use web services as the
communication interface.
Robot Cloud Panel : core of the whole system , plays a role of modeling,
assembling, deploying , managing, and analyzing the robotics
applications.
Service Broker : provides Basic Hardware Services”, “Application
Services” and “Common Services”.
Mapping Layer : To make system more flexible, the architecture of this
system employs a layered structure.
13. High Level Overview
Jobs & Server
Sensor data Cluster
ROS ROS Messages
Messages over Http
Private Cloud ROS Messages
(Intranet) over Http
Cloud Computing Framework
ROSFramework
Public Cloud
(Internet)
14. Why should we use Cloud Robotics ???
• offloads the heavy computing
tasks to the cloud
• Lower the barrier to entry
for robotics
• Scalable CPU, memory, and storage
• shared knowledge database
• hardware upgrades are invisible &
hassle-free
• Longer battery life
15. lighter, easier-to-maintain hardware
Robot experiences / history /
behavior outcomes /
learned skills can all be
published or data mined
Expanding the knowledge
beyond “Physical Body”
16. Needs Improvisation
• Cloud Robotics is still taking baby steps, so will
have to wait for the platforms to develop.
• cloud-based applications can get slow or simply
become unavailable leaving the robot “Brainless”.
• Tasks that involve real-time execution require
onboard processing.
17. Implementations till now..
●RoboEarth - to develop a “World Wide Web for
robots”
●ASORO’s Cloud Computing Infrastructure
●Google’s initiative with
Android
●Nao Humanoid Robots
●Google’s street View Robot
●DAviCi framework
●Project Phondox
●Turtlebot from google