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19M054AMR - Autonomous mobile systems

Course specification
Course title Autonomous mobile systems
Acronym 19M054AMR
Study programme Electrical Engineering and Computing
Module Applied Mathematics, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition -
The goal Introduces students to the concept of locomotion, localization and navigation robots in space, sensors systems, and programming service robot systems on software platform ROS.
The outcome Students will be able to work on design and control of service mobile robots and autonomous vehicles.
Contents
Contents of lectures Principles of movement of robots and autonomous vehicles: terms, models, applications, and constraints. Sensors system: proximity, touch, encoders, orientation, and positioning. Decision based on multiple sensors. Localization and space mapping. Path planning and navigation of a robot. Basic hardware and software architecture of service robots (ROS).
Contents of exercises Exercises on education platforms in the area of service mobile robotics - TurtleBot. Programming robots in a dedicated platform - ROS. Project tasks on selected topics.
Literature
  1. R. Siegwart, I. Nourbakhsh, Introduction to Autonomous Mobile Robots (Original title)
  2. YoonSeok Pyo, HanCheol Cho, RyuWoon Jung, TaeHoon Lim, ROS Robot Programming (Original title)
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
3 1 1
Methods of teaching Lectures, exercises, laboratory excersises, projects.
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 0 Test paper 40
Practical lessons 0 Oral examination 0
Projects 60
Colloquia 0
Seminars 0