Introduction to Biologically-inspired Robotics and Learning (Summer School)
Course ID
Course Title
ECTS value
Internal Course Code
Responsible study board
Administrative Unit
Date of Approval
Course Responsible
Name | Department | |
---|---|---|
Kamilla Juel Sørensen | kjs@tek.sdu.dk | TEK Uddannelseskoordinering og Support |
Preben Hagh Strunge Holm | prebenh@mmmi.sdu.dk | SDU Robotics |
Teachers
Programme Secretary
Offered in
Level
Offered in
Duration
Mandatory prerequisites
Students should have some knowledge of Matlab and at least one of the following programming languages – C/C++ or Python. Basic knowledge of reading from sensors and control of motors used in mechatronics and robotics is a plus.
Two years of studies at university level (equivalent to 120 ECTS) within a relevant field of study, before the summer school starts.
Overall learning objectives
Learning objectives - Knowledge
- Concepts in embodied artificial intelligence, neurorobotics and biorobotics
- How biological neurons and their engineering models work
- How biological learning in neurons and its engineering models work
Learning objectives - Skills
- Construct simple neural brains for robots to solve a task
- Apply biological learning algorithms to allow robots to learn
Learning objectives - Competences
- Posing a robotic problem as a neural learning problem
- Building appropriate neural brains to solve robotic problems
Content
- Biologically-inspired approaches to robotics - embodied artificial intelligence, neurorobotics and biorobotics
- Biological neurons and their simplified engineering models
- Simple artificial neural brains for sensing and control
- Learning mechanisms in biological neurons and their simplified engineering models
- Learning in artificial neural brains
URL for Skemaplan
Teaching Method
Lectures, computer simulation exercises, group project work.
Number of lessons
Teaching language
Examination regulations
Exam regulations
Name
Examination is held
Tests
Exam
EKA
Name
Description
The examination is based on an overall assessment of:
- Attendance (minimum 80%)
- Oral exam assessing general understanding of the course content and the group project.
Form of examination
Censorship
Grading
Identification
Language
ECTS value
Additional information
Enrolment is limited to 30 students. If more applicants than places, applicants who meet the mandatory requirements are prioritised according to the below selection criteria:
- Undergraduate and graduate students from partner universities (exchange); international undergraduate and graduate guest students (fee-paying); undergraduate and graduate students from other Danish universities.
- Ph.D students from partner universities and other international Ph.D. students; other applicants.
Students are prioritised on a first come, first served basis, i.e. according to the time we receive your complete application.
In case a course is filled up, we try to offer you an alternative course from your list of priorities. All final decisions about admission will be sent out continually.