This document discusses cloud robotics, which aims to enable cloud computing capabilities for robots. It provides background on related topics like robotics history, online robot controllers, swarm robotics, and semantic web technologies. The motivation for cloud robotics is outlined, such as enabling cheaper, lighter, and smarter robots through sharing knowledge and skills in the cloud. A proposal is made for a cloud robotics framework involving client robot emulators, interfaces, data storage, knowledge representation, machine learning, and sensors. Key challenges are also identified like sensor integration, communication, knowledge representation, machine learning, and ethics.
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.
About the Microsoft Robotics Developer Studio, the backgrounds and research behind it and how the technological development from the personal computer towards personal robots went on.
How can FIWARE and Standardised Context Data Management create synergies between Robotic Systems and other Smart Solutions. How to integrate Real-Time Operating System (ROS) with FIWARE Orion Context Broker.
● What is a Robotic System?
● How to get/put context data out from/into robotic systems?
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.
About the Microsoft Robotics Developer Studio, the backgrounds and research behind it and how the technological development from the personal computer towards personal robots went on.
How can FIWARE and Standardised Context Data Management create synergies between Robotic Systems and other Smart Solutions. How to integrate Real-Time Operating System (ROS) with FIWARE Orion Context Broker.
● What is a Robotic System?
● How to get/put context data out from/into robotic systems?
Invited talk held at the IEEE conference Hummanoids'06 in Genoa, Italy about Microsoft's recently released preview of the Microsoft Robotics Studio. Including a scalable runtime architecture supporting 8-bit up to 32-bit technologies with multi-core processors, the system provides access to simple touch sensors up to complex laser range finders. A 3D visual simulation environment and open architecture allows easy integration and simulation of newly constructed hardware platforms. While a wide variety of commercial and academic robots are already integrated within the Robotics Studio, there is a lack of humanoid platforms, yet. In this talk we will discuss the design of the software platform and the requirements to be met to integrate humanoid robots in the future.
FIWARE Wednesday Webinars - How to Develop FIWARE NGSI Interfaces for RobotsFIWARE
How to Develop FIWARE NGSI Interfaces for Robots - 6th May 2020
Corresponding webinar recording: https://youtu.be/m5JWxlMMuqk
This webinar will present different alternatives to develop FIWARE-Ready robots and the main FIWARE components that can facilitate/empower these developments.
Chapter: Robotics
Difficulty: 3
Audience: Technical Domain Specific
Presenter: Francisco Meléndez (Senior Technical Evangelist, FIWARE Foundation)
Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
Ai and robotics: Past, Present and FutureHongmei He
Abstract: Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
UBC’s Cloud Innovation Centre (CIC) invites students to our AWS RoboMaker webinar and live lab on Thursday, July 22 from 1:00 to 3:30 pm PST. In this session, special guest Alex Coqueiro, will introduce you to AWS Robomaker, a service that makes it easy to develop, test, and deploy intelligent robotics applications at scale. We walk through the features of integrating key components into robotics, deploying a single solution, and discuss the uniquely designed models that allow for optimized robots use cases to get you to production fast. We will cover use cases, implementation, simulation, and deployment. Demos will be implemented using Python.
The presentation outlines Alleantia jorney for achieving pervasive IOT deployment leveraging open architectures, communities, OTS and recycled Hardware.
Starting from small-scale industrial systems control products for B2B (delivered in 2012), accelerating through porting to ARM/low cost OTS hardware (eg. Rapsberrypi) and through SDK for opening developers' community (2013), and creating IOT application market, developers and 'technology assistants' social communities for extensive IOT adoption, leveraging the young and creative crowd of Nations (2015+)
Research Proposal on Visual Computing and Robotics | PhD Research Proposal As...PhD Assistance
The advancement of the Internet and cloud computing has pushed the desktop-based peripheral device into a web-based Computing Infrastructure. It has transformed the actual goods or items principle into facilities. The support and dedication of several governments and major tech companies around the world to create and use cloud computing environments as an interconnected storage and connectivity system have contributed to the rapid growth of various commercial and mission-critical technologies in the modern architecture, including the Introduction of physical devices, which provides the Internet of Things has unlimited computing capabilities. Internet of Things (IoT) was initially suggested and adhered in the Radio Frequency Identification RFID-tags to commemorate the Electronic Product Code (Auto-ID Lab). The IoT idea is expanded to the globe where physical artifacts are deeply integrated into the information system and where physical artifacts could become actively involved in business operations. The Internet of Intelligent Things (IoIT) interacts with smart devices with sufficient computing capability. The IoIT is an aspect of dispersed intelligence .
Visite : https://www.phdassistance.com/blog/
Contact Us:
UK NO: +44-1143520021
India No: +91-8754446690
Email: info@phdassistance.com
Building Robotics Application at Scale using OpenSource from Zero to HeroAlex Barbosa Coqueiro
Today, organizations are using robotics to address a host of business challenges, from the self-driving car to autonomous walkers to assist older adults, exploring various environments from deep oceans to other planets like Mars. In the past, the integration of these robots took a significant amount of time and effort, and it required specialized expertise in this field. Still, this scenario has dramatically changed thanks to adopting a real-time production system with Linux and the Robot Operating System (ROS). ROS is an open-source software framework for robot development, including middleware, drivers, libraries, tools, and commonly used algorithms for robotics. In this session, we walk the audience through the steps from design to deployment robots using ROS2 Foxy (new version of ROS) from zero to hero using live demo using Python 3 (rclpy) with DDS (Data Distribution Service) simulating real-world environments with Gazebo (open-source 3D robotics simulator). In a nutshell, I will cover designing, developing, testing, and deploying intelligent robotics applications at scale, including integration with critical components, and discuss models that allow for optimized large fleet management.
Overview of Cloud Computing and how it can be used by startups. Case study on how the cloud helped the development of PriceChirp.com. Talk given to Barcamp NOLA 2009
Towards Conscious-like Behavior in Computer Game CharactersAccenture Analytics
The main sources of inspiration for the design of more engaging synthetic characters are existing psychological models of human cognition. Usually, these models, and the associated Artificial Intelligence (AI) techniques, are based on partial aspects of the real complex systems involved in the generation of human-like behavior. Emotions, planning, learning, user modeling, set shifting, and attention mechanisms are some remarkable examples of features typically considered in isolation within classical AI control models. Artificial cognitive architectures aim at integrating many of these aspects together into effective control systems. However, the design of this sort of architectures is not straightforward. In this paper, we argue that current research efforts in the young field of Artificial Consciousness (AC) could contribute to tackle complexity and provide a useful framework for the design of more appealing synthetic characters. This hypothesis is illustrated with the application of a novel consciousness-based cognitive architecture to the development of a First Person Shooter video game character.
More Related Content
Similar to Cloud Robotics- Enable Cloud Computing for Robots
Invited talk held at the IEEE conference Hummanoids'06 in Genoa, Italy about Microsoft's recently released preview of the Microsoft Robotics Studio. Including a scalable runtime architecture supporting 8-bit up to 32-bit technologies with multi-core processors, the system provides access to simple touch sensors up to complex laser range finders. A 3D visual simulation environment and open architecture allows easy integration and simulation of newly constructed hardware platforms. While a wide variety of commercial and academic robots are already integrated within the Robotics Studio, there is a lack of humanoid platforms, yet. In this talk we will discuss the design of the software platform and the requirements to be met to integrate humanoid robots in the future.
FIWARE Wednesday Webinars - How to Develop FIWARE NGSI Interfaces for RobotsFIWARE
How to Develop FIWARE NGSI Interfaces for Robots - 6th May 2020
Corresponding webinar recording: https://youtu.be/m5JWxlMMuqk
This webinar will present different alternatives to develop FIWARE-Ready robots and the main FIWARE components that can facilitate/empower these developments.
Chapter: Robotics
Difficulty: 3
Audience: Technical Domain Specific
Presenter: Francisco Meléndez (Senior Technical Evangelist, FIWARE Foundation)
Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
Ai and robotics: Past, Present and FutureHongmei He
Abstract: Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
UBC’s Cloud Innovation Centre (CIC) invites students to our AWS RoboMaker webinar and live lab on Thursday, July 22 from 1:00 to 3:30 pm PST. In this session, special guest Alex Coqueiro, will introduce you to AWS Robomaker, a service that makes it easy to develop, test, and deploy intelligent robotics applications at scale. We walk through the features of integrating key components into robotics, deploying a single solution, and discuss the uniquely designed models that allow for optimized robots use cases to get you to production fast. We will cover use cases, implementation, simulation, and deployment. Demos will be implemented using Python.
The presentation outlines Alleantia jorney for achieving pervasive IOT deployment leveraging open architectures, communities, OTS and recycled Hardware.
Starting from small-scale industrial systems control products for B2B (delivered in 2012), accelerating through porting to ARM/low cost OTS hardware (eg. Rapsberrypi) and through SDK for opening developers' community (2013), and creating IOT application market, developers and 'technology assistants' social communities for extensive IOT adoption, leveraging the young and creative crowd of Nations (2015+)
Research Proposal on Visual Computing and Robotics | PhD Research Proposal As...PhD Assistance
The advancement of the Internet and cloud computing has pushed the desktop-based peripheral device into a web-based Computing Infrastructure. It has transformed the actual goods or items principle into facilities. The support and dedication of several governments and major tech companies around the world to create and use cloud computing environments as an interconnected storage and connectivity system have contributed to the rapid growth of various commercial and mission-critical technologies in the modern architecture, including the Introduction of physical devices, which provides the Internet of Things has unlimited computing capabilities. Internet of Things (IoT) was initially suggested and adhered in the Radio Frequency Identification RFID-tags to commemorate the Electronic Product Code (Auto-ID Lab). The IoT idea is expanded to the globe where physical artifacts are deeply integrated into the information system and where physical artifacts could become actively involved in business operations. The Internet of Intelligent Things (IoIT) interacts with smart devices with sufficient computing capability. The IoIT is an aspect of dispersed intelligence .
Visite : https://www.phdassistance.com/blog/
Contact Us:
UK NO: +44-1143520021
India No: +91-8754446690
Email: info@phdassistance.com
Building Robotics Application at Scale using OpenSource from Zero to HeroAlex Barbosa Coqueiro
Today, organizations are using robotics to address a host of business challenges, from the self-driving car to autonomous walkers to assist older adults, exploring various environments from deep oceans to other planets like Mars. In the past, the integration of these robots took a significant amount of time and effort, and it required specialized expertise in this field. Still, this scenario has dramatically changed thanks to adopting a real-time production system with Linux and the Robot Operating System (ROS). ROS is an open-source software framework for robot development, including middleware, drivers, libraries, tools, and commonly used algorithms for robotics. In this session, we walk the audience through the steps from design to deployment robots using ROS2 Foxy (new version of ROS) from zero to hero using live demo using Python 3 (rclpy) with DDS (Data Distribution Service) simulating real-world environments with Gazebo (open-source 3D robotics simulator). In a nutshell, I will cover designing, developing, testing, and deploying intelligent robotics applications at scale, including integration with critical components, and discuss models that allow for optimized large fleet management.
Overview of Cloud Computing and how it can be used by startups. Case study on how the cloud helped the development of PriceChirp.com. Talk given to Barcamp NOLA 2009
Towards Conscious-like Behavior in Computer Game CharactersAccenture Analytics
The main sources of inspiration for the design of more engaging synthetic characters are existing psychological models of human cognition. Usually, these models, and the associated Artificial Intelligence (AI) techniques, are based on partial aspects of the real complex systems involved in the generation of human-like behavior. Emotions, planning, learning, user modeling, set shifting, and attention mechanisms are some remarkable examples of features typically considered in isolation within classical AI control models. Artificial cognitive architectures aim at integrating many of these aspects together into effective control systems. However, the design of this sort of architectures is not straightforward. In this paper, we argue that current research efforts in the young field of Artificial Consciousness (AC) could contribute to tackle complexity and provide a useful framework for the design of more appealing synthetic characters. This hypothesis is illustrated with the application of a novel consciousness-based cognitive architecture to the development of a First Person Shooter video game character.
Similar to Cloud Robotics- Enable Cloud Computing for Robots (20)
3. Inspiration
A Survey On Cloud Computing, 2009
James Kuffner – Cloud Computing, 2010
Google Cloud Robotics, 2011
Worlfram Alpha
SIRI, Apple Inc.
NYU Cloud Robotics, 2012
Medical Cloud - UK
3
8. Robotics History
1920s~ : Robots in fictions.
- ―Robot‖ first appeared in a play R.U.R.
1920s~ 1950s: Remotely controlled robots(In Exhibitions).
1960s~: Industrial robot in assemble line.
1970s~: Programmable universal robots.
1980s~: Humanoid
2010~: Cloud Robotics
8
10. Swarm Robotics
Swarm robotics is a new approach to the coordination of
multi-robot systems which consist of large numbers of mostly
simple physical robots.
10
11. Semantics Web
Semantically structured knowledge/data
International standard
Resource Description Framework
Web Ontology Language
Semantics Search: Higher accuracy
i.e. Wolfram|Alpha, Goolge semantics search
11
13. Agent Oriented Programming
―Agent- encapsulated computer system, situated in some
environment, and capable of flexible autonomous action in
that environment in order to meet its design objectives‖
(Wooldridge)
13