Welcome to Neurorobotics course!
Prof. Ivan Vujaklija (firstname.lastname@example.org), Office F306, Rakentajanaukio 2c
Office hours: Please send an email to book an appointment.
Intended Learning Outcomes
After successfully completing this course, the participants are able to:
- Perform basic biosignal processing
- Establish fundamental human-machine interfaces
- Develop and compare a range of human in the loop robotic controllers
- Identify requirements and challenges of developing human-robot interaction environments
- Consider basic design needs for establishing robotic teleoperation and development of wearable robots
Assessment Methods and Criteria
- Exercise reports (50%)
- Learning diary (30%)
- Article report (20%)
In case student is not able to complete the above tasks or is dissatisfied with the performance, there is an optional opportunity for a cumulative final exam at the end of the course which will annul the performance of the above three assessments and account for the full 100% of the grade. Student needs to inform the course instructor if they wish to take the final exam the latest 3 weeks (10/03/2020, @9:00AM) before the course end.
The course is mainly based on lecture notes and handouts that will be made available on the course homepage.
Recommended: basic programming knowledge (MATLAB or Python), basic signal processing
· 14/01/2020 – Lecture 1: Course introduction and basics of human-machine interfaces
· 21/01/2020 – Lecture 2: Basics of biosignal processing
· 28/01/2020 – Lecture 3: Human in the loop robotic controllers 1
· 06/02/2020 – Exercise 1: Biosignal processing
· 13/02/2020 – Exercise 2: Classifier based controllers
· 27/02/2020 – Exercise 3: Real-time controllers
· 03/03/2020 – Lecture 4: Human in the loop robotic controllers 2
· 10/03/2020 – Lecture 5: Human-robot interaction and cooperation
· 19/03/2020 – Exercise 4: Regression based controllers
· 26/03/2020 – Exercise 5: Human-robot interaction
· 31/03/2020 – Lecture 6: Wearable robots and course wrap up