700.240 (15S) Mobile Robot Programming

Sommersemester 2015

Registration deadline has expired.

First course session
04.03.2015 16:00 - 20:00 L4.1.02 ICT-Lab Off Campus
... no further dates known

Overview

Lecturer
Course title german Mobile Robot Programming
Type Course (continuous assessment course )
Hours per Week 2.0
ECTS credits 4.0
Registrations 17 (14 max.)
Organisational unit
Language of instruction English
Course begins on 01.03.2015
Remarks (english) It is possible to opt out of the course until the second course date (11.03.).

Time and place

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Course Information

Intended learning outcomes

Students learn about current research regarding mobile robots and open challenges to get an overview of state of the art. Further, students shall learn how to program controllers for robots to autonomously explore or search environments. The Robot Operating System (ROS) is used for robot programming. The programmed controllers are tested in simulation and on real hardware.

Teaching methodology including the use of eLearning tools

This course consists of two parts. The first part gives a guided presentation of the ROS universe. The students will get an overview of robotics, learn the basics of ROS, and implement their first controller (i.e. implement nodes, services, publishers, and subscribers). In the second part of the course students shall implement their own controller to autonomously search a known environment. This means that the robot has to traverse the whole environment (i.e. visit every position) to find a hidden object.

Distance learning info

​This is a guided lab course therefore attendance is mandatory. Additionally it is possible to install ROS on a personal computer to continue working on the controller from home.

Course content

This lab course is intended to give an overview of common problems in robotics as well as to familiarize students with current issues in mobile robotics. Students shall solve some of these problems. For example, students are asked to implement a controller that assures that, given an unknown environment, the complete environment is traversed and automatically mapped. While development and testing will be done in simulation, the controllers can be installed on real robots and demonstrated in a real-world environment. We use the Robotic Operating System (ROS), a framework that allows robot control and offers basic components to a wide range of robot platforms (see www.ros.org). ROS continues to gain in significance and is to become the major robotics framework. Besides in academia ROS is intended to be used in industry. A consortium including BMW, Bosch, Boing, Frauenhofer, and others, works to extend ROS for use in industrial settings with its specific requirements.

Topics

  • Overview of robotics in research
  • Current problems in robotics
  • Programming robots
  • Robot Operating System (ROS)
  • Autonomous robot systems
  • Exploration

Prior knowledge expected

Basic C/C++ programming skills are required. Further, basic operating system functionalities such as threading, processes, networking using TCP/IP should be known and understood.

Intended learning outcomes

Students learn about current research regarding mobile robots and open challenges to get an overview of state of the art. Further, students shall learn how to program controllers for robots to autonomously explore or search environments. The Robot Operating System (ROS) is used for robot programming. The programmed controllers are tested in simulation and on real hardware.

Teaching methodology including the use of eLearning tools

This course consists of two parts. The first part gives a guided presentation of the ROS universe. The students will get an overview of robotics, learn the basics of ROS, and implement their first controller (i.e. implement nodes, services, publishers, and subscribers). In the second part of the course students shall implement their own controller to autonomously search a known environment. This means that the robot has to traverse the whole environment (i.e. visit every position) to find a hidden object.

Distance learning info

This is a guided lab course therefore attendance is mandatory. Additionally it is possible to install ROS on a personal computer to continue working on the controller from home.

Course content

This lab course is intended to give an overview of common problems in robotics as well as to familiarize students with current issues in mobile robotics. Students shall solve some of these problems. For example, students are asked to implement a controller that assures that, given an unknown environment, the complete environment is traversed and automatically mapped. While development and testing will be done in simulation, the controllers can be installed on real robots and demonstrated in a real-world environment. We use the Robotic Operating System (ROS), a framework that allows robot control and offers basic components to a wide range of robot platforms (see www.ros.org). ROS continues to gain in significance and is to become the major robotics framework. Besides in academia ROS is intended to be used in industry. A consortium including BMW, Bosch, Boing, Frauenhofer, and others, works to extend ROS for use in industrial settings with its specific requirements.

Topics

  • Overview of robotics in research
  • Current problems in robotics
  • Programming robots
  • Robot Operating System (ROS)
  • Autonomous robot systems
  • Exploration

Prior knowledge expected

Basic C/C++ programming skills are required. Further, basic operating system functionalities such as threading, processes, networking using TCP/IP should be known and understood.

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

Assessment criteria / Standards of assessment for examinations

The final grade is calculated from three individual grades: Two lab reports on the two parts of the course and one presentation on the final result. Each of them accounts 1/3 of the final grade.

Assessment criteria / Standards of assessment for examinations

The final grade is calculated from three individual grades: Two lab reports on the two parts of the course and one presentation on the final result. Each of them accounts 1/3 of the final grade.

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

  • Bachelor's degree programme Information Technology (SKZ: 289, Version: 12W.2)
    • Subject: Informationstechnische Vertiefung (Compulsory elective)
      • Wahl von Lehrveranstaltungen ( 0.0h VK/VO/KU / 6.0 ECTS)
        • 700.240 Mobile Robot Programming (2.0h KU / 4.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Subject: Major Field of Specialization (Mobile and Wireless Systems) (Compulsory subject)
      • 1.4-1.5 Exercises or Lab ( 4.0h KU / 6.0 ECTS)
        • 700.240 Mobile Robot Programming (2.0h KU / 3.0 ECTS)
  • Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
    • Subject: Technischer Schwerpunkt (Embedded Communications and Signal Processing) (Compulsory subject)
      • 1.4-1.5 Kurs oder Labor ( 4.0h KU / 6.0 ECTS)
        • 700.240 Mobile Robot Programming (2.0h KU / 3.0 ECTS)

Equivalent courses for counting the examination attempts

Sommersemester 2024
  • 700.240 KS Mobile Robot Programming (2.0h / 3.0ECTS)
  • 700.241 KS Mobile Robot Programming (2.0h / 3.0ECTS)
Sommersemester 2023
  • 700.240 KS Mobile Robot Programming (2.0h / 3.0ECTS)
Sommersemester 2022
  • 700.240 KS Mobile Robot Programming (2.0h / 3.0ECTS)
Sommersemester 2021
  • 700.240 KS Mobile Robot Programming (2.0h / 3.0ECTS)
  • 700.241 KS Mobile Robot Programming (Parallelgruppe) (2.0h / 3.0ECTS)
Sommersemester 2020
  • 700.240 KS Mobile Robot Programming (2.0h / 3.0ECTS)
Sommersemester 2019
  • 700.240 KS Mobile Robot Programming (2.0h / 3.0ECTS)
Sommersemester 2018
  • 700.240 KS Mobile Robot Programming (2.0h / 3.0ECTS)
Sommersemester 2017
  • 700.240 KS Mobile Robot Programming (2.0h / 4.0ECTS)
Sommersemester 2016
  • 700.240 KS Mobile Robot Programming (2.0h / 4.0ECTS)
Sommersemester 2014
  • 700.240 KU Mobile Robot Programming (2.0h / 4.0ECTS)