2020-2021 / INFO0948-2

Introduction to intelligent robotics


30h Th, 4h Pr, 80h Proj.

Number of credits

 Master of Science (MSc) in Data Science5 crédits 
 Master of Science (MSc) in Electrical Engineering5 crédits 
 Master of Science (MSc) in Computer Science and Engineering5 crédits 
 Master of Science (MSc) in Computer Science and Engineering (double diplômation avec HEC)5 crédits 
 Master of Science (MSc) in Data Science and Engineering5 crédits 
 Master of Science (MSc) in Computer Science5 crédits 
 Master of Science (MSc) in Computer Science (double diplômation avec HEC)5 crédits 
 Master of Science (MSc) in Mechanical Engineering (EMSHIP+, Erasmus Mundus)5 crédits 


Pierre Sacré

Language(s) of instruction

English language

Organisation and examination

Teaching in the second semester


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

  • Robot kinematics
  • Control and planning methods
  • Sensor interpretation
  • SLAM: Simultaneous localization and mapping
  • Applications: Mobile robots + arms and grippers

Learning outcomes of the learning unit

A group project will allow students to practice the concepts studied in class. Students will program a robotic agent capable of processing images, plan actions, and execute these actions on a robot. The agent will be evaluated in a robot simulator (V-REP).

Prerequisite knowledge and skills

  • Programming skills
  • Basic math
  • Elements of probabilities, statistics, and algorithmics

Planned learning activities and teaching methods

  • Oral courses
  • Exercises
  • Group project

Mode of delivery (face to face, distance learning, hybrid learning)


Organisational adjustments related to the current health context

Recommended or required readings

The course notes et the slides will be available on the course's webpage at the beginning of the semester: http://www.montefiore.ulg.ac.be/~sacre/INFO0948/.

Assessment methods and criteria

Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.

Any session :

- In-person

oral exam

- Remote

oral exam

- If evaluation in "hybrid"

preferred in-person

Additional information:

Group project (evaluating the assimilation of practical notions).

Work placement(s)

Organizational remarks


Lecturer: Pierre Sacré (p.sacre@uliege.be).
Webpage: http://www.montefiore.ulg.ac.be/~sacre/INFO0948/.