1) To understand the difference between machine learning and learning
machines. (Knowledge and understanding)
2) To equip a given robot with learning abilities and experimentally
test the resulting performance. (Apply knowledge and understanding)
3) To experience the difference between simulated and real robots (to
this end, we use Thymio robots enhanced with Raspberry Pi 'brains',
cameras, and powerful batteries. For the simulations we use our own
allows easy portability of code between simulated and real Thymios)
(Apply knowledge and understanding) (Make judgements)
Course ContentThis course concerns robots that can adjust and improve their behaviour
The course has a strong hands-on flavour. After two introductory
lectures students have to develop and implement the learning method of
their choice in simulation. In particular, adequate robot controllers
have to be learned autonomously for two tasks, maze navigation and food
collection. After testing and tuning the methods in simulation, the best
learned robot controller must be ported to a real Thymio and the real
world performance compared with that observed in simulation.
Teaching MethodsThe course is short and requires intensive work. Students will work in
teams of three, attending two obligatory workshops each week. During the
last lecture, we will have a live demonstration of all robots.
Method of AssessmentEach student team will have one robot that has to learn to solve three
tasks (one per week).
Grading is based on:
1) task performance of the robots:
a. Obstacle avoidance: the robot should move around without hitting any
b. Foraging: the robot should search for 'food', approach it and touch
c. Prey catching: the robot (predator) should catch another robot (prey)
moving around in the arena. (25%)
2) short report of the approach and experimental results (25%)
Entry RequirementsPrerequisites: Python.
Target AudienceMSc Artificial Intelligence
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||prof. dr. A.E. Eiben|
|Examiner||prof. dr. A.E. Eiben|
prof. dr. A.E. Eiben
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Seminar, Lecture|