13D051ARS - Unmanned Autonomous Robotic Systems
Course specification | ||||
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Course title | Unmanned Autonomous Robotic Systems | |||
Acronym | 13D051ARS | |||
Study programme | Electrical Engineering and Computing | |||
Module | ||||
Type of study | doctoral studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 9.0 | Status | elective | |
Condition | The candidate is requested to show the basic knowledge of mechanics, electronics and system identification, advance knowledge of signal processing and automatic control theory, know-how regarding implementation of artificial intelligence, programming in Matlab (obligatory) and C/C++, Java, ROS or microcontroller programming, etc. Use of English is welcome. | |||
The goal | The objectives regard to acquisition of the specific knowledge of modeling and identification of mechatronic/robotic systems, sensor-based navigation, motion planning and control synthesis of autonomous robotic systems such as wheel and track-based mobile robots, intelligent road vehicles and unmanned aerial rotor-crafts. | |||
The outcome | As the expected outcome a new control algorithm or method verified by use of the simulator or the experimental system and reported appropriately. | |||
Contents | ||||
Contents of lectures | The topics considered regard to system modeling, design of intelligent navigation and control algorithms, simulation and experimental testing of autonomous robotic systems. Candidates choose one of the currently available sub-programs: 1) autonomous wheeled/ tracked mobile robots, 2) autonomous road vehicles for intelligent highway systems, and 3) unmanned micro-aerial vehicles (rotor-crafts). | |||
Contents of exercises | Candidate is enabled working with the experimental indoor robotic systems (4WD rover) as well as outdoor unmanned micro-aerial vehicle (UMAV). Concerning of the intelligent road vehicles, testing is enabled by use of the corresponding software simulator. | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
6 | ||||
Methods of teaching | The project task and literature are defined by professor. The candidate works independently regarding tasks imposed with occasional consultation by professor. Project tasks are of hardware or software type encouraging original student ideas. Candidates are provided by corresponding simulation software and/or experimental system. Candidate writes a project report and defends it by the professor. | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 0 | |
Practical lessons | 0 | Oral examination | 30 | |
Projects | ||||
Colloquia | 0 | |||
Seminars | 70 |