Course details
Robotics
Guarantor
Language of instruction
Completion
Time span
- 26 hrs lectures
- 6 hrs laboratories
- 20 hrs projects
Department
Study literature
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- Craig, J., J.: Introduction to Robotics: Mechanics and Control, Prentice Hall, 2003, ISBN 0201543613
- Murphy, R., R.: An Introduction to AI Robotics (Intelligent Robotics and Autonomous Agents), Bradford Books, 2000, ISBN 0262133830
- Šolc, F.: Robotické systémy, VUT v Brně, 1990
Fundamental literature
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- 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
- Holland, J., M.: Designing Autonomous Mobile Robots: Inside the Mind of an Intelligent Machine, 2003, ISBN 0750676833
- Craig, J., J.: Introduction to Robotics: Mechanics and Control, Prentice Hall, 2003, ISBN 0201543613
- Sciavicco, L., Siciliano, B.: Modelling and Control of Robot Manipulators (Advanced Textbooks in Control and Signal Processing), Springer Verlag, 2000, ISBN 1852332212
- Murphy, R., R.: An Introduction to AI Robotics (Intelligent Robotics and Autonomous Agents), Bradford Books, 2000, ISBN 0262133830
- Laumond, J., P.: Planning Robot Motion, Springer-Verlag, 1998, ISBN 3540762191
- Spong, M., Vydyasagar, M.: Robot Dynamics and Control, J. Willey, 1989, ISBN 047161243X
Syllabus of lectures
- History, evolution, and current trends in the robotics. Basic robotics. Robotic applications. Hobby robotics.
- Overwiev of the stationary and mobile robots. The most famous robotic projects. Use in the civil and military applications. Characteristic parameters, kinematic structures.
- Kinematics and statics. Direct and inverse task of kinematics.
- Path planning and movement dynamics of the stationary robots.
- Models and control of the stationary robots.
- Effectors and sensors. Types and their applications.
- Basic parameters of the mobile robots. Model and control of the wheel mobile robots.
- Basic algorithms of the robotic vision. Applications of the cameras, laser distance meters, and sonars.
- Map-building and localisation of the robot. Analysis of the known methods. Examples.
- Global and local navigation of the mobile robots. Means of the navigation. Examples.
- Methods of the planning and problem solving.
- Local and global methods of the path planning. Path planning in a complex environment with obstacles.
- Use of the neural networks and other methods for the control and navigation of the robots.
Syllabus of laboratory exercises
- To familiarise with the robotic laboratory.
- Monitoring of the sensors of the Trilobot.
- Simple programming of the Trilobot.
Course inclusion in study plans