Course detail

Robotics

FIT-ROBAcad. year: 2010/2011

Not applicable.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

Ing. Filip Orság, Ph.D.

Department

Department of Intelligent Systems (UITS)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

  1. Nolfi, S., Floreano, D.: Evolutionary Robotics : The Biology, Intelligence, and Technology of Self-Organizing Machines (Intelligent Robotics and Autonomous Agents), Bradford Books, 2004, ISBN 0262640562
  2. Holland, J., M.: Designing Autonomous Mobile Robots: Inside the Mind of an Intelligent Machine, 2003, ISBN 0750676833
  3. Craig, J., J.: Introduction to Robotics: Mechanics and Control, Prentice Hall, 2003, ISBN 0201543613
  4. Sciavicco, L., Siciliano, B.: Modelling and Control of Robot Manipulators (Advanced Textbooks in Control and Signal Processing), Springer Verlag, 2000, ISBN 1852332212
  5. Murphy, R., R.: An Introduction to AI Robotics (Intelligent Robotics and Autonomous Agents), Bradford Books, 2000,  ISBN 0262133830 
  6. Laumond, J., P.: Planning Robot Motion, Springer-Verlag, 1998, ISBN 3540762191  
  7. Spong, M., Vydyasagar, M.: Robot Dynamics and Control, J. Willey, 1989, ISBN 047161243X

Recommended reading

  1. Craig, J., J.: Introduction to Robotics: Mechanics and Control, Prentice Hall, 2003, ISBN 0201543613
  2. Murphy, R., R.: An Introduction to AI Robotics (Intelligent Robotics and Autonomous Agents), Bradford Books, 2000,  ISBN 0262133830
  3. Šolc, F.: Robotické systémy, VUT v Brně, 1990

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MBI , any year of study, winter semester, elective
    branch MPV , any year of study, winter semester, elective
    branch MGM , any year of study, winter semester, elective
    branch MSK , any year of study, winter semester, elective
    branch MPS , any year of study, winter semester, elective
    branch MIS , any year of study, winter semester, elective
    branch MBS , any year of study, winter semester, elective
    branch MIN , any year of study, winter semester, compulsory-optional
    branch MMI , any year of study, winter semester, elective
    branch MMM , any year of study, winter semester, elective

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Ing. Filip Orság, Ph.D.

Syllabus

  1. History, evolution, and current trends in the robotics. Basic robotics. Robotic applications. Hobby robotics.
  2. Overwiev of the stationary and mobile robots. The most famous robotic projects. Use in the civil and military applications. Characteristic parameters, kinematic structures.
  3. Kinematics and statics. Direct and inverse task of kinematics.
  4. Path planning and movement dynamics of the stationary robots.
  5. Models and control of the stationary robots.
  6. Effectors and sensors. Types and their applications.
  7. Basic parameters of the mobile robots. Model and control of the wheel mobile robots.
  8. Basic algorithms of the robotic vision. Applications of the cameras, laser distance meters, and sonars.
  9. Map-building and localisation of the robot. Analysis of the known methods. Examples.
  10. Global and local navigation of the mobile robots. Means of the navigation. Examples.
  11. Methods of the planning and problem solving.
  12. Local and global methods of the path planning. Path planning in a complex environment with obstacles.
  13. Use of the neural networks and other methods for the control and navigation of the robots.

Laboratory exercise

6 hours, optionally

Teacher / Lecturer

Ing. Filip Orság, Ph.D.

Syllabus

  1. To familiarise with the robotic laboratory.
  2. Monitoring of the sensors of the Trilobot.
  3. Simple programming of the Trilobot.

Project

20 hours, optionally

Teacher / Lecturer

Ing. Filip Orság, Ph.D.