Course details

Robotics

ROB Acad. year 2010/2011 Winter semester 5 credits

Current academic year

Guarantor

Language of instruction

Czech

Completion

Examination

Time span

  • 26 hrs lectures
  • 6 hrs laboratories
  • 20 hrs projects

Department

Study literature

    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

Fundamental 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

Syllabus of lectures

  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.

Syllabus of laboratory exercises

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

Course inclusion in study plans

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