Autonomous Robotic Systems
2024/2025
Content, progress and pedagogy of the module
The module is based on knowledge achieved in the 1 semester project module Robotic Based Condition Monitoring.
Learning objectives
Knowledge
- Have knowledge and comprehension of the distinct levels of autonomy in robotic systems
- Have knowledge and comprehension of different probabilistic methods to design autonomous robotic systems
- Have knowledge and comprehension of AI based methods used in autonomous robotics
- Have knowledge and comprehension of multi-robotic systems and their coordination
- Have knowledge of the localization, navigation and planning methods used in autonomous robotic systems
Skills
- Be able to integrate hardware and software components into a cohesive robotic system that can operate autonomously.
- Be able to integrate localization, navigation and planning methods and algorithms in robotic systems
- Be able to design intelligent unmanned aerial, ground, or underwater robotic systems with several degrees of autonomy
Competences
- Be able to analyze complex technical problems and develop innovative solutions to improve the performance and capabilities of autonomous robotic systems.
- Be able to design and develop autonomous robotic systems that can operate in challenging and dynamic environments, and meet the performance and safety requirements of the application domain
- Independently be able to continue own development in competence and specialisation related to the field
Type of instruction
Problem based project organised work in groups. The project can be a disciplinary project, a cross disciplinary project or a part of a multi-disciplinary project, where several groups from the department do different parts of a larger project.
Finally, the project can also be a part of a so-called MEGA project where several project groups from more departments are participating, each doing their part of the large project to find a total solution.
The project work should be based on an unmanned aerial, ground, or underwater robotic system. The considered robotic system should be analysed, and a simulation model of the system is made taking relevant dynamics into account.
The robotic system model should be verified by experimental test either on a real system or in the laboratory.
A workshop “PBL competence profile” to make an individual PBL competence profile is offered during the semester. More information can be found at PBL Education at Aalborg University.
Extent and expected workload
Since it is a 15 ECTS project module, the work load is expected to be 450 hours for the student.
Exam
Prerequisite for enrollment for the exam
- An approved PBL competency profile is a prerequisite for participation in the project exam.
Exams
| Name of exam | Autonomous Robotic Systems |
| Type of exam | Oral exam based on a project |
| ECTS | 15 |
| Permitted aids | With certain aids:
For more information about permitted aids, please visit the course
description in Moodle. |
| Assessment | 7-point grading scale |
| Type of grading | External examination |
| Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Facts about the module
| Danish title | Autonome Robotsystemer |
| Module code | E-AIAS-K2-1 |
| Module type | Project |
| Duration | 1 semester |
| Semester | Spring
|
| ECTS | 15 |
| Language of instruction | English |
| Location of the lecture | Campus Esbjerg |
| Responsible for the module |
Organisation
| Education owner | Master of Science (MSc) in Engineering (Advanced Power Electronics) |
| Study Board | Study Board of Build, Energy, Electronics and Mechanics in Esbjerg |
| Department | Department of Energy |
| Faculty | The Faculty of Engineering and Science |
