2021-2022 / INFO0948-2

Introduction to intelligent robotics

Duration

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 

Lecturer

Pierre Sacré

Language(s) of instruction

English language

Organisation and examination

Teaching in the second semester

Schedule

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)

Face-to-face.

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

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

Contacts

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