Duration
30h Th, 4h Pr, 80h Proj.
Number of credits
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course provides an introduction to advanced informatics tools to collect and interpret information from sensors, and to plan and perform actions based on this information.
The following topics are addressed:
- Robot direct and inverse kinematics;
- Control and planning methods;
- Sensor interpretation;
- SLAM: Simultaneous localization and mapping;
- Applications: Mobile robots + arms and grippers.
Learning outcomes of the learning unit
At the end of the course, the student will understand the breadth and challenges faced in the field of robotics and have entry-points to the literature and current work about robotics, sensor processing and robot control applied to a variety of autonomous robotic tasks.
This course contributes to the learning outcomes I.1, I.2, II.1, II.2, II.3, III.1, III.2, III.3, IV.1, IV.3, VI.1, VI.2, VII.1, VII.2, VII.3, VII.4, VII.5 of the MSc in data science and engineering.
This course contributes to the learning outcomes I.1, I.2, II.1, II.2, II.3, III.1, III.2, III.3, IV.1, IV.3, IV.8, VI.1, VI.2, VII.1, VII.2, VII.3, VII.4, VII.5 of the MSc in electrical engineering.
This course contributes to the learning outcomes I.1, I.2, II.1, II.2, II.3, III.1, III.2, III.3, IV.1, VI.1, VI.2, VII.1, VII.2, VII.3, VII.4, VII.5 of the MSc in computer science and engineering.
This course contributes to the learning outcomes I.1, I.2, II.1, II.2, II.3, III.1, III.2, III.3, IV.1, VI.1, VI.2, VII.1, VII.2, VII.3, VII.4, VII.5 of the MSc in mechanical engineering.
Prerequisite knowledge and skills
The course relies on basic knowledge of probability, statistics, and algorithmics, and programming skills.
Planned learning activities and teaching methods
The course includes both ex-cathedra lectures, exercise sessions, and group projects.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face.
Course materials and recommended or required readings
The course material will be made available as the semester progresses.
Exam(s) in session
Any session
- In-person
oral exam
Written work / report
Additional information:
The assessment is based on the written report and the oral presentation of the group project. Students must be able to explain the theoretical concepts seen during the course and connect them with their implementation in the project.
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Lecturer: Pierre Sacré (p.sacre@uliege.be).
Webpage: https://people.montefiore.uliege.be/sacre/INFO0948/.