Hello (Real) World with ROS – Robot Operating System
date_range Начало 15 января 2020 г.
event_note Завершение 4 марта 2020 г.
list 7 последовательности
assignment Уровень : Средний
chat_bubble_outline Язык : английский
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Are you interested in taking your first steps in robotics? Do you seek a practical approach and want to learn by doing? Join our course and learn how to program a complete real-world robotic system with ROS!

The Robot Operating System (ROS) enables you to quickly build robotic applications through access to a large set of open-source software and tools. Over the years, ROS has become the essential tool for roboticists. A large community surrounds ROS and there has been extensive input from industrial users in the development of these tools.

Many of the new advanced robot capabilities for manipulation, perception, and navigation have been developed using ROS. Companies such as Airbus and Boeing are using ROS for several of their applications. And we at Delft University of Technology won the Amazon Robotics Challenge 2016 with a robotic system developed with ROS.

In this course, you will learn to use different ROS tools to create a complete robotic application. You will be working with your own standalone Ubuntu-Linux installation and with industrial and mobile robots on the physics-based simulation engine, Gazebo. You will learn to program and configure basic robotic tasks such as pick-and-place objects, and navigate through obstacles. You will then integrate all this knowledge to build an industrial production line with two robotic arms and a mobile robot.

Are you ready to make your robot say "Hello" to the (real) world with ROS?

The development of this course is supported by ROSIN - ROS-Industrial Quality-Assured Robot Software Components. ROSIN project is funded by the European Union's Horizon 2020 research and innovation program under grant agreement no. 732287.

  • How to use ROS communication tools (topics, services, actions) to exchange information between functional modules
  • Visualization and creation of a custom environment with a robot
  • Mapping of the robot environment and navigation with a mobile robot
  • How to implement a pick-and-place function with industrial robot arms
  • Design of a complete robotic application with state machines

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Специальные требования

  • Basic programming in Python (variables, conditionals, loops and functions)
  • A computer ready for Ubuntu-Linux installation
  • The knowledge of basic Linear Algebra, computer science concepts and Linux command line is preferred, but students may also choose to learn these skills on their own along the course.



Week 0: Course setup
Installation of Ubuntu-Linux, course simulation setup and supporting software.

Week 1: ROS Essentials
Introduction to ROS Topics, Services, Actions, and Nodes. Simple interaction with the course simulation environment.

Week 2: Build your own robot environment
Software representation of a Robot using Unified Robot Description Format (URDF), ROS parameter server and adding real-world object representations to the simulation environment.

Week 3: Autonomous Navigation
Map creation with GMapping package, autonomously navigate a known map with ROS navigation.

Week 4: Manipulation
Motion planning, pick and place behaviors using industrial robots with ROS MoveIt!

Week 5: Robot Vision
Object detection, pose estimation.

Week 6: Final Project
ROS file system, basic concepts of behavior design with state machines, build a production line application with two industrial robot arms and a mobile robot.



Mukunda Bharatheesha
Post-Doctoral Researcher, TU Delft
Delft University of Technology

Gijs van der Hoorn
Researcher, TU Delft
Delft University of Technology

Carlos Hernandez Corbato
Post-Doctoral Researcher, TU Delft
Delft University of Technology

Martijn Wisse
Professor of Biorobotics, TU Delft
Delft University of Technology

Mohamed Baioumy
Teaching Assistant
Delft University of Technology



Delft University of Technology
Delft University of Technology



EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.

EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.

Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.

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