The aim of the course is to present and study the mechanisms by which a robotic system can acquire an understanding of its environment and use it to navigate autonomously in it. In this context, topics such as, types and principles of sensor operation, spatial mapping, position self-awareness, path design, obstacle detection and avoidance, signaling and topological navigation are presented and studied. The course includes study and elaboration of extensive programming work based on a modern scientific publication.
Learning Outcomes
Knowledge: Having attended and succeeded in the course, the student is able to describe how specific, selected robotic navigation problems are treated in recent, relevant literature. Understanding: Having attended and succeeded in the course, the student possesses in-depth understanding of the techniques and mechanisms for solving basic and more advanced robotic navigation problems and is able to justify why the employed mechanisms work for the task at hand. Application: Having attended and succeeded in the course, the student is able to reuse and deploy existing techniques to address novel problems and tasks in robotic navigation and also tackle specific domain applications. Analysis: Having attended and succeeded in the course, the student is able to formulate critical views of robotic navigation problems and decompose them in a series of individual subproblems. Synthesis: Having attended and succeeded in the course, the student is able to integrate solutions to individual subproblems in order to address more complex robotic navigation problems. Evaluation: Having attended and succeeded in the course, the student is able to assess and quantify the solutions to robotic navigation problems and compare them against existing competitive ones.
Student Performance Evaluation
Specific details on grading can be found on the course’ s website
The courses of the Computer Science Department are designated with the letters "CS" followed by three decimal digits. The first digit denotes the year of study during which students are expected to enroll in the course; the second digit denotes the area of computer science to which the course belongs.
First Digit
Advised Year of Enrollment
1,2,3,4
First, Second, Third and Fourth year
5,6
Graduate courses
7,8,9
Specialized topics
Second Digit
Computer Science Area
0
Introductory - General
1
Background (Mathematics, Physics)
2
Hardware Systems
3
Networks and Telecommunication
4,5
Software Systems
6
Information Systems
7
Computer Vision and Robotics
8
Algorithms and Theory of Computation
9
Special Projects
The following pages contain tables (one for each course category) summarizing courses offered by the undergraduate studies program of the Computer Science Department at the University of Crete. Courses with code-names beginning with "MATH" or "PHYS" are taught by the Mathematics Department and Physics Department respectively at the University of Crete.
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