Introduction to intelligent robotics
INFO0948-2, University of Liège, Spring
Instructors: Lecturer: Pierre Sacré Teaching assistants: Jérôme Adriaens, Sven Goffin
Lectures: Fridays, 1:45pm-5:45pm in B28 1.21
Communication: Ed Discussion is our primary digital channel for communication about the course. Sign up here: (choose EU region, use your @student.uliege.be email address). If you haven't received a registration email by the first day of the class, send an email to . An announcement about the course organization is waiting for you there.
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Announcements
- For all future announcements, please sign up on (choose EU region, use your @student.uliege.be email address).
- Welcome to the Spring edition of INFO0948!
Schedule and materials
Slides are made available as the semester progresses.
This tentative schedule is subject to change.
| Date | 1:45pm-3:45pm | 3:45pm-5:45pm |
|---|---|---|
| Fri 07/02 | 0. Overview [slides] 1. Introduction [slides] | Tutorial - ROS2 basics [GitLab] |
| Fri 14/02 | No class | Tutorial - Gazebo & tf2 [GitLab] |
| Fri 21/02 | 2. Robot kinematics [slides] | Tutorial - Q&A on Tuto 1 & 2 |
| Fri 28/02 | Tutorial - TurtleBot3 Burger | Tutorial - TurtleBot3 Burger |
| Fri 07/03 | 3. Control and planning methods [slides] | Lab Jupyter - Kinematics [GitLab] |
| Fri 14/03 | 4. Sensor interpretation I (Bayes filter + Kalman filter) [slides] | Lab Jupyter - Dynamic programming [GitLab] |
| Fri 21/03 | 4. Sensor interpretation II (Particle filter) [slides] | Lab Jupyter - Kalman filter [GitLab] |
| Fri 28/03 | 5. SLAM [slides] | Project work (no class) |
| Fri 04/04 | TBD | Lab Jupyter - SLAM [GitLab] |
| Fri 11/04 |
GeMMe team, ULiège
Multipick project |
Project work (no class) |
| Fri 18/04 | Project work (no class) | Project work (no class) |
| Fri 25/04 | No class (Easter holidays) | No class (Easter holidays) |
| Fri 02/05 | No class (Easter holidays) | No class (Easter holidays) |
| Fri 09/05 | Louis Dehaybe, ULiège (PhD student in Olivier Brüls' Lab) | Project work (no class) |
| Fri 16/05 | Project work (no class) | Project work (no class) |
Additional materials
There is no textbook. Everything we'll use is posted on this website.
If you'd like to consult some books, we listed some below.
-
Probabilistic Robotics
Sebastian Thrun, Wolfram Burgard, and Dieter Fox
MIT Press, 2005 -
Robotics, Vision and Control
Peter Corke
Springer, 2017
Project
All information about the project can be found here soon.
Archives
- Spring 2024
- Spring 2023
- Spring 2022
- Spring 2021
- Spring 2020
- Spring 2019
- Spring 2018: theory, project (L. Wehenkel et al)
- Spring 2017: theory, project (R. Detry)