Cloud Robotics: Cognitive Augmentation for Robots via the Cloud
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Robot software development is difficult due to the complexity of robot components and low computational intelligence from slow processors. Developing even simple applications requires entire development teams but results are often not what was expected. Robots cannot efficiently run AI services due to these design challenges. Cloud robotics offers a solution by allowing robots to leverage remote computing resources for more advanced capabilities.
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Cloud robotics
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Hi friends, I have created this simple yet helpful slide about application of AI in cloud computing for a presentation held at my class. i hope it would help those who looking for this topic since Its a rare topic and hardly anyone else ever made ppt about this topic. thanks
Have a nice day :)
Ambiences on the-fly usage of available resources through personal devices
In smart spaces such as smart homes, computation is
embedded everywhere: in toys, appliances, or the
home’s infrastructure. Most of these devices provid
e a pool of available resources which the user can
take
advantage, interacting and creating a friendly envi
ronment. The inherent composability of these system
s
and other unique characteristics such as low-cost e
nergy, simplicity in module programming, and even
their small size, make them a suitable candidate fo
r dynamic and adaptive ambient systems. This resear
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work focuses on what is defined as an “ambience”, a
space with a user-defined set of computational
devices. A smart-home is modeled as a collection of
ambiences, where every ambience is capable of
providing a pool of available resources to the user
. In turn, the user is supposed to carry one or sev
eral
personal devices able to interact with the ambience
s, taking advantage of his inherent mobility. In th
is way,
the whole system can benefit from resources discove
red in the spatial proximity. A software architectu
re is
designed, which is based on the implementation of l
ow-cost algorithms able to detect and update the sy
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are implementation works in a wide range of
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Robots are shaping a new era in the technology, many
algorithms has been developed for their learning which
they can apply to find the solution for the problems that
they are facing. That is, we have tried to provide them a
basic intelligence (like recognition, collision avoidance,
etc.). But besides that basic intelligence we are interested
in developing an intelligent system in which robots will
use their experiences and share it with each other just like
humans, who have got all its intelligence by his
experience and imaginations and sharing it with each
other. To implement this intelligent system we can use a
local server (word interchangeable to database) that will
be restricted to a robot only and a Cloud (global) server
where the authorized robots can upload their experiences
which can be used by every robot (which is authorized to
that server) to solve their problems.
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Ambiences on the-fly usage of available resources through personal devices
In smart spaces such as smart homes, computation is
embedded everywhere: in toys, appliances, or the
home’s infrastructure. Most of these devices provid
e a pool of available resources which the user can
take
advantage, interacting and creating a friendly envi
ronment. The inherent composability of these system
s
and other unique characteristics such as low-cost e
nergy, simplicity in module programming, and even
their small size, make them a suitable candidate fo
r dynamic and adaptive ambient systems. This resear
ch
work focuses on what is defined as an “ambience”, a
space with a user-defined set of computational
devices. A smart-home is modeled as a collection of
ambiences, where every ambience is capable of
providing a pool of available resources to the user
. In turn, the user is supposed to carry one or sev
eral
personal devices able to interact with the ambience
s, taking advantage of his inherent mobility. In th
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the whole system can benefit from resources discove
red in the spatial proximity. A software architectu
re is
designed, which is based on the implementation of l
ow-cost algorithms able to detect and update the sy
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A Comprehensive Exploration of Computer Systems Technology.docx
Introduction:
In the ever-evolving landscape of technology. computer systems have emerged as the backbone of modern society. From the early days of massive mainframes to the sleek and powerful devices we carry in our pockets. The journey of computer systems technology has been nothing short of revolutionary. This article delves deep into the intricacies of computer systems, exploring their evolution, current state, and the promising future.
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I. The Evolution of Computer Systems Technology
1.1 The Genesis: From Mainframes to Microcomputers
The roots of computer systems technology trace back to the mid-20th century. when mainframe computers dominated the scene. These behemoths paved the way for the development of microcomputers. marking a significant shift towards decentralized computing power.
1.2 The Rise of Personal Computing
The 1980s saw the advent of personal computers. ushering in an era of accessibility and user empowerment. Companies like Apple and IBM played pivotal roles in bringing computing to homes. and offices, laying the foundation for the democratization of technology.
1.3 The Internet Revolution
As the 1990s unfolded, integrating computers with the internet transformed the global landscape. The World Wide Web became a household term. and computer systems evolved to accommodate the demands of a connected world.
1.4 Mobile Computing and the Smartphone Era
In the 21st century, the emergence of smartphones revolutionized personal computing. These handheld devices combined computing power with portability. changing how we communicate, work, and access information.
II. Components of Modern Computer Systems
2.1 Central Processing Unit (CPU)
The CPU is at the heart of every computer system. responsible for executing instructions and performing calculations. Advances in CPU architecture, such as multi-core processors, have enhanced processing power.
2.2 Memory: RAM and Storage
Random Access Memory (RAM) provides temporary storage for running applications. while storage devices like Solid State Drives (SSDs) and Hard Disk Drives (HDDs) store data. The evolution of storage technologies has led to faster and more reliable data access.
2.3 Graphics Processing Unit (GPU)
designed for rendering graphics, GPUs have found new applications in parallel processing tasks. including artificial intelligence and machine learning. The rise of GPU computing has opened new frontiers in computational capabilities.
2.4 Motherboard and Peripheral Devices
The motherboard acts as the central hub. connecting various components of a computer system. Peripheral devices, such as keyboards, mice. and printers, help user interaction and expand functionality.
III. Innovations Shaping the Present
3.1 Cloud Computing
The advent of cloud computing has transformed how we store and access data. Cloud services provide scalable and on-demand resources. enabling businesses and individuals to harness computing power
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Robots
Will robots take our jobs? A report from the World Economic Forum found that while 7.1 million jobs may be lost due to automation, 2.1 million new jobs will be created, resulting in a net loss of over 5 million jobs by 2020 across major economies. The drivers of increased robotization include technological advances in areas like machine learning, 3D printing, and quantum computing, as well as the increased productivity, lower costs, and improved safety that robots provide compared to human workers. Nearly every industry like transportation, farming, healthcare, and IT will be impacted. Proposed solutions include retraining workers, incentivizing lifelong learning, and political actions like a universal basic income.
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SBC Thematic Groups Organisation
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SWAMP: Smart Water Management Platform
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Cloud Robotics: Cognitive Augmentation for Robots via the Cloud
- 2. Problem Robot software development is hard and tedious process involving too many components, many of which are very complex.1 Robots suffer from low computational intelligence due to the various idiosyncrasies of their design, and slow processors. 2 Development of even simple applications is difficult Quite often, toy problems are addressed by entire development teams, and yet the results are not what was initially expected. Robots cannot efficiently run AI services
- 4. D. E. Rumelhart, J. L. McClelland, and the PDP Research Group (Eds.) (1986). Parallel distributed processing: Explorations in the microstructure of cognition. Vol. 1: Foundations. Cambridge, MA: MIT Press.
- 6. Cloud Robotics in the Connected World Robots in Smart Homes Robot companions as interfaces to SmartHomes.1 Robots in Smart Factories Plug and Produce.2 Robots in Smart Hospitals Doing the heavy lifting while humans focus on humans.3 Robots in Smart Cities Providing smooth scheduling for unobtrusive and efficient services.4
- 7. More on Cloud Robotics https://www.linkedin.com/pulse/nuvem-também-é-dos-robôs-estadão-qr/
- 8. Thank you!