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Lecturer(s)
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Šos Vladimir, Ing. Ph.D.
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Janouš Jan, Ing.
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Course content
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Significant part of the course is focused on design of robots, including overview of actuators, sensors and control system. Overview of further topics like motion planning and control, grasping of objects, effectors, autonomous systems, navigation and special topics as service robots, robots for medical applications, artificial intelligence in robotics, etc. is given. Lectures: 1. Contents of the course, requirements, literature. Introduction - history overview, robot classification of robots and manipulators, examples. Robot market development. 2. - 3. Repetition of fundamentals of mechanics Kinematics and dynamics robotic manipulators, forward and inverse problem, D-H principle. 4. - 6. Programming of industrial robots - online, offline. Using of proprietary SW tools. Using of Robotics Module in Siemens Technomatics. Virtual model of robotic workplace in Siemens Technomatics - Process Simulate. 7. Sensors for industrial and service robotics. 8. Robotic vision. 9. Effectors for robotic manipulators, grasping of objects. 10. Service robotics - introduction, locomotion, control system 11. Navigation and localization 12. Application of robotics in medicine. Cobots. Other applications of robotics and trends in robotics. Unmanned vehicles, robots for undersea research, reconfigurable robots, downsizing (micro a nanorobotics). co-existence of humans and robots (psychological aspects of robotics) 13. External lecturer - system integrator / manufacturer of industrial robots. Alt. excursion. Cvičení : 1. Tools for modeling and simulation of robotic mechanisms - an overview. 2. Kinematics of robotic manipulators - examples, derivation of equations for particular manipulator. 3. Kinematics and dynamics of robotic manipulators - examples. Modeling of robotic manipulators in MATLAB with using of Robotics Tbx., SimMechanics, etc. 4.-7. Programming of industrial robots - online, offline. Using of proprietary SW tools. Using of Robotics Module in Siemens Technomatics. Virtual model of robotic workplace in Siemens Technomatics - Process Simulate. Working on project no.1. 8. Robotic vision - recognition of a scene and objects. 9. Effectors, grasping of objects. 10. - 11. Service robotics (mobile robots) - introduction to programming (Arduino), control of servos and motors, sensor signal processing. Programming of mobile robots, AGVs - using compass, accelerometers, gyroscopes, GPS for navigation and localization tasks 12. - 13. Working on semester project no.2, presentation.
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Learning activities and teaching methods
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Lecture supplemented with a discussion, Lecture with practical applications, Laboratory work, Task-based study method, Self-study of literature
- Individual project (40)
- 40 hours per semester
- Contact hours
- 52 hours per semester
- Preparation for an examination (30-60)
- 40 hours per semester
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| prerequisite |
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| Knowledge |
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| Knowledge in the range of the previous study at the university is supposed. |
| to use his/her professional knowledge at least in one foreign language |
| to use independently teoretical knowledge from mechanics, stress and strain, machine elements and fundamentalds of design in designing of machines and equipment |
| to gain further professional knowledge by self-study |
| Skills |
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| to use independently his/her knowledge of fundamental theoretical disciplines in solving of practical tasks in the field of designing machines and equipment |
| to use his/her professional skills at least in one foreign language |
| to gain further professional experience |
| Competences |
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| N/A |
| N/A |
| N/A |
| learning outcomes |
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| Knowledge |
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| to use his/her professional knowledge at least in one foreign language |
| to communicate information about problems connected with applications of robotics |
| to evaluate pros and cons of robotic systems |
| to gain further professional knowledge by self-study |
| Skills |
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| to design selected robotic subsystems with use of gained theoretical and practical knowledge |
| to use his/her theoretical knowledge to solve practical tasks |
| to gain further professional experience |
| Competences |
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| N/A |
| N/A |
| N/A |
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Lecture supplemented with a discussion |
| Laboratory work |
| Task-based study method |
| Self-study of literature |
| Interactive lecture |
| Project-based instruction |
| E-learning |
| N/A |
| Skills |
|---|
| Laboratory work |
| Task-based study method |
| N/A |
| E-learning |
| Project-based instruction |
| Competences |
|---|
| Self-study of literature |
| Task-based study method |
| Practicum |
| N/A |
| assessment methods |
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| Knowledge |
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| Oral exam |
| Written exam |
| Skills demonstration during practicum |
| Project |
| N/A |
| Skills |
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| Skills demonstration during practicum |
| Project |
| N/A |
| Competences |
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| Project |
| Individual presentation at a seminar |
| N/A |
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Recommended literature
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Robot Academy.
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Springer Handbook of Robotics. Springer, 2007. ISBN 978-3540239574.
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Carbone, Giuseppe. Grasping in Robotics. London : Springer, 2013. ISBN 978-1-4471-4663-6.
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Dudek, Gregory; Jenkin, Michael. Computational principles of mobile robotics. Cambridge : Cambridge University Press, 2010. ISBN 978-0-521-69212-0.
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Choset, Howie M. Principles of robot motion : theory, algorithms, and implementation. Cambridge : MIT Press, 2005. ISBN 0-262-03327-5.
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Kurfess, Thomas R. Robotics and automation handbook. Boca Raton : CRC Press, 2005. ISBN 0-8493-1804-1.
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Margolis, Michael. Arduino cookbook. 2nd ed. Sebastopol : O'Reilly, 2012. ISBN 978-1-449-31387-6.
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McRoberts, Michael. Beginning Arduino. New York : Apress, 2010. ISBN 978-1-4302-3240-7.
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Rocon, Eduardo; Pons, José L. Exoskeletons in rehabilitation robotics : tremor suppression. Berlin : Springer, 2011. ISBN 978-3-642-17658-6.
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Siegwart, Roland; Nourbakhsh, Illah Reza,; Scaramuzza, Davide. Introduction to autonomous mobile robots / Roland Siegwart, Illah R. Nourbakhsh, and Davide Scaramuzza. 2nd ed. Cambridge : MIT Press, 2011. ISBN 978-0-262-01535-6.
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