This course introduces students to the broad field of robotics predominately from a software perspective.
This course is the last course in the robot specialization. The course provides an introduction to robotics and starts by answering general questions such as what a robot is, their origins, types, and applications. It then introduces the key approaches to robot control and explores the pros and cons of each. The course finally covers the advanced topics of robot learning and bio-inspired robots in addition to current robot research topics at ITU. In addition to the theory, the course also has a significant practical, hands-on dimension that comprises introduction to relevant software tools (simulators and operating systems) and hands-on experiments with simulated and physical robots.
Intended learning outcomes
After the course, the student should be able to:
- Describe what a robot is, their origin, types, and applications
- Describe, compare, and apply robot control stategies
- Apply robot software tools (simulation, operating systems)
- Apply bio-inspired solutions and machine learning appropriately in robotics
- Formulate and reflect on robot solutions to real-world problems
Ordinary examExam type:
C: Submission of written work, external (7-trinsskala)
CG: Submission of written work for groups. As with all exams, a grading foundation must be established to make individual grading possible. You must clearly identify which parts of the work submitted you are responsible for.
The final project and the resulting exam report will be made in the context of a robot competition. The exam report will describe the group's robotic solution, document the developed robotic solution using experimetal data, and finally reflect on the solution based on the theoretical material of the course.
Group size: 1-4 persons, preferably 3.