ROS, Robot Operating System is widely used in robotics development. It provides robust communication mechanism and a uniform interface.
A Blog is also available on medium and a video is also available for this presentation: https://youtu.be/0636IpOUCnc
Portfolio: https://khansaadbinhasan.github.io/
Medium: https://medium.com/@khansaadbinhasan
Linkedin: https://www.linkedin.com/in/khan-saad...
Github: https://github.com/khansaadbinhasan
Twitter: https://www.twitter.com/KhanSaadBinHas1
Youtube: https://www.youtube.com/channel/UCudVNfZNUhH4oWyFcB4I0gg?view_as=subscriber
Introduction to ROS (Robot Operating System) hvcoup
ROS is a framework that provides a communication infrastructure, robot-specific features, eliminates programming language barriers, and includes diagnostic and advanced simulation tools. It acts as a meta-operating system through its collection of frameworks, SDKs, and software that address the challenges of robot integration complexity. ROS was created in 2008 and is currently maintained by OSRF, with 9 versions released so far.
Robot operating systems (ros) overview & (1)Piyush Chand
The document provides an overview of Robot Operating System (ROS) and demonstrates Kinect tracking capabilities using OpenNI and ROS. It describes ROS architecture including packages, stacks, messages and services. It explains how ROS nodes communicate via topics, services and parameter server. It also gives technical details of Kinect sensor and how OpenNI framework is used for skeletal tracking and gesture recognition with Kinect. Finally, it demonstrates a ROS-based Kinect application for skeleton tracking, cursor control and hand gestures.
This is the first slide in the series on Robot Control using ROS tutorial. In this first modul, we give an introduction to the topic, including the definition of Robot, Control, ROS (Robot Operating System), and the goal of this tutorial.
You can find the tutorial on our youtube playlist: https://www.youtube.com/watch?v=yL4Rllx70vs&list=PL4T23RsIw5Qz2wDcZHZMVA33hjkzwx_Iq
Next slide: https://www.slideshare.net/jagorobotika/robot-control-using-ros-kinematic-modelling-of-mobile-robots
ROS now has 2 different editions. The traditional ROS and the new reinvented ROS 2. Both have their own pros and cons. Check which one suits your need.
This document provides an overview of ROS (Robotic Operating System) components including nodes, topics, services, and parameters. It describes how to set up a ROS workspace using packages and stacks, configure ROS paths, build packages, and use core ROS tools like rosrun and roslaunch. It also explains how to create ROS messages for topics and services, write publishing/subscribing nodes, and service clients.
ROS, Robot Operating System is widely used in robotics development. It provides robust communication mechanism and a uniform interface.
A Blog is also available on medium and a video is also available for this presentation: https://youtu.be/0636IpOUCnc
Portfolio: https://khansaadbinhasan.github.io/
Medium: https://medium.com/@khansaadbinhasan
Linkedin: https://www.linkedin.com/in/khan-saad...
Github: https://github.com/khansaadbinhasan
Twitter: https://www.twitter.com/KhanSaadBinHas1
Youtube: https://www.youtube.com/channel/UCudVNfZNUhH4oWyFcB4I0gg?view_as=subscriber
Introduction to ROS (Robot Operating System) hvcoup
ROS is a framework that provides a communication infrastructure, robot-specific features, eliminates programming language barriers, and includes diagnostic and advanced simulation tools. It acts as a meta-operating system through its collection of frameworks, SDKs, and software that address the challenges of robot integration complexity. ROS was created in 2008 and is currently maintained by OSRF, with 9 versions released so far.
Robot operating systems (ros) overview & (1)Piyush Chand
The document provides an overview of Robot Operating System (ROS) and demonstrates Kinect tracking capabilities using OpenNI and ROS. It describes ROS architecture including packages, stacks, messages and services. It explains how ROS nodes communicate via topics, services and parameter server. It also gives technical details of Kinect sensor and how OpenNI framework is used for skeletal tracking and gesture recognition with Kinect. Finally, it demonstrates a ROS-based Kinect application for skeleton tracking, cursor control and hand gestures.
This is the first slide in the series on Robot Control using ROS tutorial. In this first modul, we give an introduction to the topic, including the definition of Robot, Control, ROS (Robot Operating System), and the goal of this tutorial.
You can find the tutorial on our youtube playlist: https://www.youtube.com/watch?v=yL4Rllx70vs&list=PL4T23RsIw5Qz2wDcZHZMVA33hjkzwx_Iq
Next slide: https://www.slideshare.net/jagorobotika/robot-control-using-ros-kinematic-modelling-of-mobile-robots
ROS now has 2 different editions. The traditional ROS and the new reinvented ROS 2. Both have their own pros and cons. Check which one suits your need.
This document provides an overview of ROS (Robotic Operating System) components including nodes, topics, services, and parameters. It describes how to set up a ROS workspace using packages and stacks, configure ROS paths, build packages, and use core ROS tools like rosrun and roslaunch. It also explains how to create ROS messages for topics and services, write publishing/subscribing nodes, and service clients.
ROS is an open-source, meta-operating system for robots that provides services like hardware abstraction, device control, message passing, and package management. It has tools and libraries for building, writing, and running code across multiple computers. ROS uses a publish-subscribe model with message-passing between processes. Key aspects of ROS include its plumbing for messaging, extensive tools, capabilities through libraries, and large ecosystem/community. The ROS equation can be defined as: ROS = Robots + Operating System + Software + Community.
ROS Based Programming and Visualization of Quadrotor HelicoptersAtılay Mayadağ
ROS Based Programming and Visualization of Quadrotor Helicopters
Contents
Purpose of Thesis
Robot Operating System ( ROS )
What is Robot Operating System ( ROS ) ?
ROS structure
HOW does ROS work ?
Navigation of Robot with ROS
URDF : Unified Robot Description Format
ROS with 3D Modelling and Simulation
Quadrotor Simulation on Rviz and Gazebo with ROS
Conclusion and Recommendation
ROS publish / subscribe method
unmanned air vehicle
Robot Operating System
ATILAY MAYADAG
ROS-Industrial is an open-source extension of ROS that aims to solve problems in industrial robotics and automation. It provides drivers for common industrial robots and devices, capabilities for applications like automated painting, and a growing community for developers. The ROS-Industrial Consortium was formed to accelerate development, provide a voice for end users, and build an ecosystem around ROS-Industrial through membership fees and collaborative research projects.
simulating a mobile robot platform and operating environment by ROS
- configure the platform on the simulator
- control the drone fly
- read measurements from different sensors mounted on the platform
- add items to the simulation environment
- apply a simple scenario: e.g. trajectory following or obstacle avoidance algorithm
ROS - an open-source Robot Operating Systemabirpahlwan
A presentation based on
"ROS - an open-source Robot Operating System" by Willow Garage.
Available at http://www.willowgarage.com/sites/default/files/icraoss09-ROS.pdf
This document discusses space robotics and provides examples of current and potential future applications. It covers the importance of space robots in performing tasks less expensively and with less risk than human astronauts. Examples are given of current space robots, including Mars rovers and Robonaut, and the technological capabilities needed include mobility, manipulation, and operating in extreme environments with communication delays. Fundamental research challenges are outlined in areas like navigation and force control. International efforts in space robotics from countries and agencies like NASA, Japan, Europe, and the UK are also summarized. The future scope of space robotics is expected to include more autonomous planetary rovers and robots able to precisely assemble and service hardware despite time delays.
The document provides an introduction to using the Gazebo simulator for robotcar simulation in ROS, including building a basic simulation environment, defining a robot model, and adding wheels and Ackermann steering; it also discusses potential next steps like simulating sensors and developing a steering algorithm.
Micro XRCE-DDS and micro-ROS enable ROS 2 functionality on embedded devices. Micro XRCE-DDS is a middleware that provides embedded devices access to the ROS 2 data space using a client-server architecture. It has low memory usage and supports various transports and real-time capabilities. Micro-ROS builds on Micro XRCE-DDS to mirror the ROS 2 API and ecosystem, allowing developers to create ROS 2 nodes that run on embedded devices. Together they help close the gap between embedded devices and ROS 2 by bringing ROS 2 capabilities to microcontrollers and supporting a wide range of hardware and operating systems.
This document provides an overview of the Web Ontology Language (OWL). It discusses the requirements for ontology languages, the three species of OWL (Lite, DL, Full), the syntactic forms of OWL, and key elements of OWL including classes, properties, restrictions, and boolean combinations. It also covers special properties, datatypes, and versioning information. OWL builds on RDF and RDF Schema to provide a stronger language for defining ontologies with greater machine interpretability on the semantic web.
Find in this presentation an overview of the micro-ROS project, with its latest developments and new features
This presentation contains the workshop: Deeply embedded software" delivered at the European Robotics Forum on April 13th, 2021..
This document provides an overview of the Semantic Web vision. It discusses how currently most web content is designed for human consumption rather than machine processing. The Semantic Web aims to develop a web of data that can be understood and processed by machines through the use of common data formats and description of relationships. This will allow data from different sources to be linked and queried in new ways, enabling more automated use and integration of web information.
The document discusses micro-ROS, an open source project that aims to extend ROS2 (Robot Operating System 2) to allow its use in microcontrollers. It will create a common framework called micro-ROS to support ROS on resource-constrained embedded devices. Micro-ROS will select NuttX as its operating system and test on STM32 microcontrollers. It will use micro-XRCE DDS as its middleware and provide interoperability with ROS1, ROS2 and FIWARE. The project aims to enhance ROS for microcontrollers in areas like predictable scheduling, system lifecycles, and an efficient transform library. It will also include full benchmarking and test multiple use cases.
ONOS is a new carrier-grade SDN network operating system designed for high availability, performance, and scalability. It provides multi-layer SDN control, SDN-IP, segment routing, and network functions as a service. ONOS works through a modular architecture and processes flows through distributed components. It can achieve response latencies between 10-100ms and supports deployment through Docker containers.
The document discusses the history and basics of robotics. It covers:
1. The origin of the term "robot" from a 1920 play and its Czech meaning of "forced labour."
2. The definition of a robot as a mechanical device that performs human tasks automatically or by remote control.
3. Isaac Asimov's three laws of robotics which state that a robot cannot harm humans and must obey human orders except when it conflicts with the first law.
4. The main types and parts of robots, including industrial, mobile, educational, and domestic robots as well as their manipulators, end effectors, actuators, sensors, controllers and processors.
This document provides an introduction to the Robot Operating System (ROS). It discusses problems in robotics development that ROS aims to address, such as lack of standards and code reusability. The key features of ROS are presented, including its peer-to-peer communication model using topics and messages, and its use of packages and libraries to encourage code reuse. ROS uses a master to facilitate communication between nodes publishing and subscribing to topics.
The document discusses developing applications for the PolarFire® System on Chip (SoC) field programmable gate array (FPGA). It notes that developing for the PolarFire SoC is less complicated than it seems. It covers the functionality of the application and monitor cores, how to develop bare metal applications using SoftConsole IDE, and how to develop FPGA applications using the Libero SoC Design Suite. Examples of driver code and build systems are also provided to simplify the development process for the PolarFire SoC.
The document discusses space robotics and provides an overview of the topic in the following areas:
1. It defines space robots as robots used to substitute manned activities in space and explores how they are used for tasks like satellite inspection, scientific experiments, and space station assembly.
2. It describes the typical design of space robots including joints, arms, wrists, and grippers and challenges in design and testing like temperature swings, energy conservation, and operating without gravity or lubricants.
3. It provides examples of different types of space robots like rovers, probes, and teleoperators and missions like ExoMars that use robotic exploration of Mars.
The presentation is the result of my investigating if there is an open source development framework that can manage complex robotic systems. If so,should it be recommended to be used in advanced high school/undergraduate levels.
Android Development with Kotlin, Part 1 - IntroductionAndreas Jakl
The document provides an introduction to Android development using Kotlin. It discusses native Android development using Java or Kotlin, and covers topics like the Android software development kit (SDK) versions, creating a "Hello World" app, using Android emulators, the build process, and Kotlin Android extensions. The document is presented by Andreas Jakl and is meant as part 1 of a series on Android development with Kotlin.
ROS is an open-source robot operating system that provides services like hardware abstraction, messaging, and package management. It aims to promote sharing of robotics knowledge and software. ROS uses a distributed architecture with nodes that communicate asynchronously via published topics. It has a large user community with over 2000 packages and is primarily used with Linux, but also supports Windows and ARM platforms. ROS emphasizes software reuse over creation to facilitate integration of complex robotics systems.
ROS is an open-source, meta-operating system for robots that provides services like hardware abstraction, device control, message passing, and package management. It has tools and libraries for building, writing, and running code across multiple computers. ROS uses a publish-subscribe model with message-passing between processes. Key aspects of ROS include its plumbing for messaging, extensive tools, capabilities through libraries, and large ecosystem/community. The ROS equation can be defined as: ROS = Robots + Operating System + Software + Community.
ROS Based Programming and Visualization of Quadrotor HelicoptersAtılay Mayadağ
ROS Based Programming and Visualization of Quadrotor Helicopters
Contents
Purpose of Thesis
Robot Operating System ( ROS )
What is Robot Operating System ( ROS ) ?
ROS structure
HOW does ROS work ?
Navigation of Robot with ROS
URDF : Unified Robot Description Format
ROS with 3D Modelling and Simulation
Quadrotor Simulation on Rviz and Gazebo with ROS
Conclusion and Recommendation
ROS publish / subscribe method
unmanned air vehicle
Robot Operating System
ATILAY MAYADAG
ROS-Industrial is an open-source extension of ROS that aims to solve problems in industrial robotics and automation. It provides drivers for common industrial robots and devices, capabilities for applications like automated painting, and a growing community for developers. The ROS-Industrial Consortium was formed to accelerate development, provide a voice for end users, and build an ecosystem around ROS-Industrial through membership fees and collaborative research projects.
simulating a mobile robot platform and operating environment by ROS
- configure the platform on the simulator
- control the drone fly
- read measurements from different sensors mounted on the platform
- add items to the simulation environment
- apply a simple scenario: e.g. trajectory following or obstacle avoidance algorithm
ROS - an open-source Robot Operating Systemabirpahlwan
A presentation based on
"ROS - an open-source Robot Operating System" by Willow Garage.
Available at http://www.willowgarage.com/sites/default/files/icraoss09-ROS.pdf
This document discusses space robotics and provides examples of current and potential future applications. It covers the importance of space robots in performing tasks less expensively and with less risk than human astronauts. Examples are given of current space robots, including Mars rovers and Robonaut, and the technological capabilities needed include mobility, manipulation, and operating in extreme environments with communication delays. Fundamental research challenges are outlined in areas like navigation and force control. International efforts in space robotics from countries and agencies like NASA, Japan, Europe, and the UK are also summarized. The future scope of space robotics is expected to include more autonomous planetary rovers and robots able to precisely assemble and service hardware despite time delays.
The document provides an introduction to using the Gazebo simulator for robotcar simulation in ROS, including building a basic simulation environment, defining a robot model, and adding wheels and Ackermann steering; it also discusses potential next steps like simulating sensors and developing a steering algorithm.
Micro XRCE-DDS and micro-ROS enable ROS 2 functionality on embedded devices. Micro XRCE-DDS is a middleware that provides embedded devices access to the ROS 2 data space using a client-server architecture. It has low memory usage and supports various transports and real-time capabilities. Micro-ROS builds on Micro XRCE-DDS to mirror the ROS 2 API and ecosystem, allowing developers to create ROS 2 nodes that run on embedded devices. Together they help close the gap between embedded devices and ROS 2 by bringing ROS 2 capabilities to microcontrollers and supporting a wide range of hardware and operating systems.
This document provides an overview of the Web Ontology Language (OWL). It discusses the requirements for ontology languages, the three species of OWL (Lite, DL, Full), the syntactic forms of OWL, and key elements of OWL including classes, properties, restrictions, and boolean combinations. It also covers special properties, datatypes, and versioning information. OWL builds on RDF and RDF Schema to provide a stronger language for defining ontologies with greater machine interpretability on the semantic web.
Find in this presentation an overview of the micro-ROS project, with its latest developments and new features
This presentation contains the workshop: Deeply embedded software" delivered at the European Robotics Forum on April 13th, 2021..
This document provides an overview of the Semantic Web vision. It discusses how currently most web content is designed for human consumption rather than machine processing. The Semantic Web aims to develop a web of data that can be understood and processed by machines through the use of common data formats and description of relationships. This will allow data from different sources to be linked and queried in new ways, enabling more automated use and integration of web information.
The document discusses micro-ROS, an open source project that aims to extend ROS2 (Robot Operating System 2) to allow its use in microcontrollers. It will create a common framework called micro-ROS to support ROS on resource-constrained embedded devices. Micro-ROS will select NuttX as its operating system and test on STM32 microcontrollers. It will use micro-XRCE DDS as its middleware and provide interoperability with ROS1, ROS2 and FIWARE. The project aims to enhance ROS for microcontrollers in areas like predictable scheduling, system lifecycles, and an efficient transform library. It will also include full benchmarking and test multiple use cases.
ONOS is a new carrier-grade SDN network operating system designed for high availability, performance, and scalability. It provides multi-layer SDN control, SDN-IP, segment routing, and network functions as a service. ONOS works through a modular architecture and processes flows through distributed components. It can achieve response latencies between 10-100ms and supports deployment through Docker containers.
The document discusses the history and basics of robotics. It covers:
1. The origin of the term "robot" from a 1920 play and its Czech meaning of "forced labour."
2. The definition of a robot as a mechanical device that performs human tasks automatically or by remote control.
3. Isaac Asimov's three laws of robotics which state that a robot cannot harm humans and must obey human orders except when it conflicts with the first law.
4. The main types and parts of robots, including industrial, mobile, educational, and domestic robots as well as their manipulators, end effectors, actuators, sensors, controllers and processors.
This document provides an introduction to the Robot Operating System (ROS). It discusses problems in robotics development that ROS aims to address, such as lack of standards and code reusability. The key features of ROS are presented, including its peer-to-peer communication model using topics and messages, and its use of packages and libraries to encourage code reuse. ROS uses a master to facilitate communication between nodes publishing and subscribing to topics.
The document discusses developing applications for the PolarFire® System on Chip (SoC) field programmable gate array (FPGA). It notes that developing for the PolarFire SoC is less complicated than it seems. It covers the functionality of the application and monitor cores, how to develop bare metal applications using SoftConsole IDE, and how to develop FPGA applications using the Libero SoC Design Suite. Examples of driver code and build systems are also provided to simplify the development process for the PolarFire SoC.
The document discusses space robotics and provides an overview of the topic in the following areas:
1. It defines space robots as robots used to substitute manned activities in space and explores how they are used for tasks like satellite inspection, scientific experiments, and space station assembly.
2. It describes the typical design of space robots including joints, arms, wrists, and grippers and challenges in design and testing like temperature swings, energy conservation, and operating without gravity or lubricants.
3. It provides examples of different types of space robots like rovers, probes, and teleoperators and missions like ExoMars that use robotic exploration of Mars.
The presentation is the result of my investigating if there is an open source development framework that can manage complex robotic systems. If so,should it be recommended to be used in advanced high school/undergraduate levels.
Android Development with Kotlin, Part 1 - IntroductionAndreas Jakl
The document provides an introduction to Android development using Kotlin. It discusses native Android development using Java or Kotlin, and covers topics like the Android software development kit (SDK) versions, creating a "Hello World" app, using Android emulators, the build process, and Kotlin Android extensions. The document is presented by Andreas Jakl and is meant as part 1 of a series on Android development with Kotlin.
ROS is an open-source robot operating system that provides services like hardware abstraction, messaging, and package management. It aims to promote sharing of robotics knowledge and software. ROS uses a distributed architecture with nodes that communicate asynchronously via published topics. It has a large user community with over 2000 packages and is primarily used with Linux, but also supports Windows and ARM platforms. ROS emphasizes software reuse over creation to facilitate integration of complex robotics systems.
These slides were used to discuss Free and Open Source Software. The presentation was made at the first session of a Linux orientation course organised by the University of Guyana Free and Open Source Software Club and the Cyber-security Club on 22 March, 2018. The presentation was made in the Herbarium Conference room
The document provides an overview of Linux usage statistics and the Linux ecosystem. It discusses major companies and sectors that use Linux, including Google, Amazon, financial institutions, and governments. It then summarizes the history of Linux and free/open source software movements. The rest of the document outlines the various components of the Linux ecosystem, common licenses and business models, and ways for individuals to get involved through contributing to projects or obtaining certifications.
Redfish is an IPMI replacement standardized by the DMTF. It provides a RESTful API for server out of band management and a lightweight data model specification that is scalable, discoverable and extensible. (Cf: http://www.dmtf.org/standards/redfish). This presentation will start by detailing its role and the features it provides with examples. It will demonstrate the benefits it provides to system administrator by providing a standardized open interface for multiple servers, and also storage systems.
We will then cover various tools such as the DMTF ones and the python-redfish library (Cf: https://github.com/openstack/python-redfish) offering Redfish abstractions.
Open source caqdas what is in the box and what is missingMerlien Institute
This document discusses open source computer-aided qualitative data analysis software (CAQDAS) alternatives to proprietary packages. It provides an overview of the open source movement and free/open source software philosophies. It then summarizes the features and capabilities of several popular open source CAQDAS tools, including QDA Miner Lite, Dedoose, NVivo, Atlas.ti, RQDA, and DReSS. Overall, it finds that while open source CAQDAS packages offer many useful features, their functionality is more limited than proprietary alternatives.
ROS (Robot Operating System) is robotics middleware that provides services for robot software development like hardware abstraction, message passing between processes, and package management. It was started in 2007 at Willow Garage and Stanford AI Lab. ROS is widely used for applications involving perception, motion, mobile robotics, and more. It supports robots like drones, autonomous underwater vehicles, and projects at Stanford and The Construct website. While not a real-time OS, ROS 2.0 aims to better support real-time systems. Questions are welcome on ROS and related topics.
This document provides an overview of Robot Operating System (ROS), including its history, applications, and requirements. Some key points:
- ROS is an open-source robotics middleware originally developed by Willow Garage and Stanford AI Lab in 2007. It provides services for hardware abstraction, messaging, package management, and more.
- ROS has been used widely in applications involving perception, mobile robotics, grasping, planning, and more. It has also been used on projects involving autonomous underwater vehicles, drones, and space robots.
- Using ROS requires skills like Python/C++ programming, Linux command line, knowledge of algorithms and computer graphics, and experience integrating hardware devices.
stackconf 2023 | SCS: Buildig Open Source Cloud and Container Infrastructure ...NETWAYS
Kurt Garloff discusses the importance of open source software and digital sovereignty. He describes how open source is now ubiquitous but proprietary platforms still dominate IT. The Sovereign Cloud Stack (SCS) aims to address this by providing an open source reference implementation and standards for a modular, cloud infrastructure platform that can be operated by many entities. SCS will deliver certifiable standards, open source code, and knowledge sharing to enable more distributed control and choice in cloud infrastructure.
stackconf 2023 | SCS: Buildig Open Source Cloud and Container Infrastructure ...NETWAYS
Linux is everywhere. Open Source has won! It has not. While Open Source components are all over the place, the big IT players use them to build platforms that are not fully open but designed to lock their users in. The question to ask these days is not: “Are you building on top of open source?”, because everyone is. The question should be: “Do you allow others to rebuild your whole platform?” and “Do you allow others to contribute to it and shape its future?” Sounds utopian? Sovereign Cloud Stack (SCS) tries to do exactly this: Build a network of operators to define common standards together, implement them in a complete, openly developed and fully open source manner and then even collaborate on operating it well — which can be harder than building it. The speaker will discuss the vision behind the the SCS project, how it has build the community and the technology stack, what it has achieved so far and where it will go next.
This document introduces Bruno Cornec and provides information about his background working with open source software since 1988. It then summarizes the FOSSology project, which is a framework for analyzing open source software to understand licenses and reduce uncertainty about using open source. Key aspects of FOSSology discussed include its license detection capabilities, architecture, requirements, and timeline of new features. Potential other uses for FOSSology are also listed.
FOSDEM is an annual free and open source software event held in Brussels that attracts over 5,000 attendees. The event consists of keynote speeches, main tracks on topics like IPv6, mail, and hardware, developer rooms for specific technologies, and lightning talks. Main tracks cover technical subjects such as tracing and debugging, memory and storage, and security. Developer rooms focus on individual technologies from Ada to Wikis. The event aims to educate attendees and help them join open source communities.
ACS San Diego - The RDKit: Open-source cheminformaticsGreg Landrum
The RDKit is an open-source toolkit for cheminformatics. It has a business-friendly license and core functionality implemented in C++ with Python, Java, and C# wrappers. It provides functionality for fingerprints, descriptors, reactions, diversity picking, and more. It has a large community of contributors and is used in both academic and commercial software. Upcoming work includes improvements to conformation generation, JavaScript integration, and substructure search performance.
This document summarizes a presentation about achieving visibility and insight across OpenStack projects using an integration pilot powered by Wikidsmart. It discusses current challenges with a lack of integration between project content and silos of information. The Wikidsmart demo shows faceted search and tracing a patch across tools. Next steps proposed include offering a public and private Wikidsmart portal to OpenStack members to bridge internal and community content.
Achieving Visibility and Insight across OpenStack Projects.pptOpenStack Foundation
This document discusses achieving visibility and insight across OpenStack projects through an integration pilot powered by Wikidsmart. It describes current challenges with a lack of integration between project content and silos of information. The Wikidsmart demo shows faceted search and tracing a patch across tools. Potential next steps include offering a public Wikidsmart portal for searching and dashboards, and a private portal for corporate members to bridge internal and community content.
An increasing number of researchers rely on computational methods to generate the results described in their publications. Research software created to this end is heterogeneous (e.g., scripts, libraries, packages, notebooks, etc.) and usually difficult to find, reuse, compare and understand due to its disconnected documentation (dispersed in manuals, readme files, web sites, and code comments) and a lack of structured metadata to describe it. In this talk I will describe the main challenges for finding, comparing and reusing research software, how structured metadata can help to address some of them, which are the best practices being proposed by the community; and current initiatives to aid their adoption by researchers within EOSC.
Impact: The talk addresses an important aspect of the EOSC infrastructure for quality research software by ensuring that software contributed to the EOSC ecosystem can be found, compared and reused by researchers. The talk also aims to address metadata quality of current research products, which is critical for successful adoption.
Presented at the EOSC symposium
The adoption of FOSS workfows in commercial software development: the case of...dmgerman
The document discusses how Git and GitHub have adopted workflows from open source software development. It notes that Git allows developers to work independently through decentralized version control while maintaining visibility into others' work. GitHub also facilitates collaboration through features like pull requests and issue tracking that focus communication around code. This allows self-organized teams to operate independently yet coordinate through peer code reviews of small, discrete contributions before they are merged. Overall Git and GitHub are promoting open source development practices for commercial software teams.
The document discusses open source software, including what it is, examples of open source software, why one might use or develop open source software, and how to make a private software project open source. Open source software is software with source code publicly available for modification or enhancement by anyone. Common examples include Linux, Android, and programming languages like PHP and Python. Reasons to use open source include more control over software, lower costs, and quicker development. Reasons to develop open source include learning from others' feedback and building a community. The document provides steps for making a private project open source, such as hosting the code publicly, creating documentation, and announcing the project.
This document provides guidance on starting an open source software project. It discusses factors that affect open source project success like the number of developers, their experience, the target users, programming language, and license type. It recommends hosting the project source code using services like GitHub, using revision control systems like Git, setting up issue tracking, continuous integration tools, and communication channels like mailing lists and IRC. The document emphasizes the importance of communication and getting others involved to review code and find bugs in order to continuously improve the software.
Open Chemistry, JupyterLab and data: Reproducible quantum chemistryMarcus Hanwell
The Open Chemistry project is developing an ambitious platform to facilitate reproducible quantum chemistry workflows by integrating the best of breed open source projects currently available in a cohesive platform with extensions specific to the needs of quantum chemistry. The core of the project is a Python-based data server capable of storing metadata, executing quantum chemistry calculations, and processing the output. The platform exposes RESTful endpoints using programming language agnostic web endpoints, and uses Linux container technology to package quantum codes that are often difficult to build.
The Jupyter project has been leveraged as a web-based frontend offering reproducibility as a core principle. This has been coupled with the data server to initiate quantum chemistry calculations, cache results, make them searchable, and even visualize the results within a modern browser environment. The Avogadro libraries have been reused for visualization workflows, coupled with Open Babel for file translation, and examples of the use of NWChem and Psi4 will be demonstrated.
The core of the platform is developed upon JSON data standards, and encouraging the wider adoption of JSON/HDF5 as the principle storage mediums. A single page web application using React at its core will be shown for sharing simple views of data output, and linking to the Jupyter notebooks that documents how they were made. Command line tools and links to the Avogadro graphical interface will be shown demonstrating capabilities from web through to desktop.
Introducción a la navegación de robots en ambientes inteligentesPablo Iñigo Blasco
Este documento presenta una introducción a la navegación de robots móviles con ruedas en entornos inteligentes. Aborda áreas como la localización, los modelos de movimiento, la percepción, la planificación de movimiento, la evitación de obstáculos y las arquitecturas de software robótico. El objetivo es definir una base para futuras investigaciones sobre la navegación de este tipo de robots en entornos inteligentes.
ROS es un marco de trabajo de código abierto para la robótica. Proporciona librerías, herramientas y simuladores para el desarrollo de robots. La comunidad ROS ha creado cientos de paquetes de software compartidos. ROS permite la integración de múltiples lenguajes de programación y la comunicación entre procesos de forma independiente de la plataforma. El documento también discute conceptos como SLAM, planificación, manipulación y monitorización de robots utilizando ROS.
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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B. Ed Syllabus for babasaheb ambedkar education university.pdf
Ros platform overview
1. Platform Overview
Pablo Iñigo Blasco
Grupo de Investigación RTCAR
Robotica y Tecnología de Computadores
Universidad de Sevilla
2.
3. Contents
● Overview
● ROS Principles
● ROS History
● Applications
● Community and Software Federation
● Pros and Cons
4. ROS Overview
“ROS is an open-source, meta-operating system for your robot. It provides the services you would expect from an operating
system, including hardware abstraction, low-level device control, implementation of commonly-used functionality, message-
passing between processes, and package management. It also provides tools and libraries for obtaining, building, writing, and
running code across multiple computers”
● As technology it can be sen as:
●
Robotic Development Platform
●
Integration Software Framework for complex robotics systems
● Even Further “It is a initiative or to promote Robotics”
●
Technology
●
Conveys and Data Standardization
● Open Community
–
6. ROS Overview (III) - Principles
● Software Integration over Development
● Open Source
● Federation of development groups
● Online Community
● Homogeneous and unified documentation (Wiki)
● Social Networks and Mailing lists
● Scientific Approach (promoting research)
● Multiple Product Vision: Research, Academic &
Market (service robotics, ¿industrial?)
7. ROS Overview (III) Main Features
● Distributed Components
● Main operative System: Linux, MacOS, (low support
for windows)
● Programming Languages
● High Support for C++, python
● Lower Support Lisp, Java, Octave, others,
● Platforms: X86 y ARM
● Integrating popular packages: OpenCV, Eigen, Bullet,
OROCOS (KDL, BFL), OpenSLAM, OpenRave, Stage
and Gazebo, PCL, ¿¿MRPT??
9. The PR2 Robot
● Fold Towels
● Open Doors
● Opening Drawers
● Fetch Beers
● Plug In
● Recycling trash
● Play Hannoy Towers
● Cart Pushing
10. ROS History (I) Background
● Willow Garage
● Origin - Stanford University and Research Institute
● Spin-off
● Silicon – Valley Area
● Some Researchers
● Gary Bradski
● Kurt Konolige
● Brian P. Gerkey
● Radu Bogdan Rusu
11. ROS History (II) - Evolution
Gracias por los contenidos Creative Commons de la web de ROS y de las transparencias creadas por "Radu Bogdan Rusu" para el evento: "
12. Robotic Software Repository
Federation
Stats (March 2012):
● 2363+ Documented Packages
● 100+ Federated Repositories (90+ Institutions)
● Some of them:
● CMU, TUM, MIT, PENN ...
● Unified Wiki and Documentation
● Autogenerated metainformation
14. Examples of Package Contents
● Meta Information (manifest)
● Components (Nodes or launch)
● Libraries
● Tools (every kind)
● Datasets
● Third Party Adapters
● Message Definitions
● Service Definitions
15. Advantages
● For developers and research groups: visibility
● Many people know how to use your packages
● Focus effort on research → don't reinvent the
wheel
● Learn robotics by example
● Checking others code
● Reading others doc
● Promotes conveys, methodologies for general
robotic software development
16. Disadvantages
Change the development philosophy:
●
● Forget the “reinvent the wheel” - go to The Integration Paradigm
● But The integration cost is not zero
–Read packages documentation
–Check third party code
●In Spite of everything → Non-Uniform development methodologies between
packages
●Too Linux system focused (little support for windows or RT systems)
●Not very good for real time applications (custom solutions needed)
●Several package alternatives for the same development targe t
●You have to learn a lot of usefulness stuff for very single projects
17. References
(1) Quigley, Morgan, Brian Gerkey, Ken Conley, Josh Faust, Tully Foote, Jeremy Leibs, Eric Berger, Rob Wheeler, and
Andrew Ng. 2009. ROS: an open-source Robot Operating System. In Open-Source Software workshop of the
International Conference on Robotics and Automation (ICRA).
(2) Iñigo-Blasco, Pablo, Fernando Diaz-del-Rio, Ma Carmen Romero-Ternero, Daniel Cagigas-Muñiz, and Saturnino
Vicente-Diaz. 2012. “Robotics software frameworks for multi-agent robotic systems development” Robotics and
Autonomous Systems (February).
(3) ROS WIKI - www.ros.org
(4) CoTeSys-ROS Fall School on Cognition-enabled Mobile Manipulation.