University of Liege | Version française
Academic year 2014-2015Value date : 1/10/2014
Version 2013-2014
INFO0948-1  Introduction to intelligent robotics

Duration :  30h Th, 30h Pr
Number of credits :  
Master in Electrical Engineering, in-depth approach, 2nd year5
Lecturer :  Renaud Detry
Language(s) of instruction :  
English language
Course contents :  
1: Basics: SE(3) geometry, sensors, actuators, controllers, kinematics. 2: Mobile robots: Locomotion, localization, navigation, SLAM. 3: Arms and grippers: Reaching, grasping, grasp learning. 4: Computer Vision: Feature extraction (Edge, Harris), Fitting (Ransac, Hough), Tracking (Kalman, Nonparametric), Object recognition (PCA, probabilistic model). See
Learning outcomes of the course :  
At the end of the course, students will be able to:
  • Extract information from video streams (identity/position of objects/persons, body pose, 3D structure).
  • Plan actions from sensory data (navigation, grasping, via optimization, learning or control).
  • Translate these actions into a sequence of motor commands that can be executed on the robot.
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).
Prerequisites and co-requisites/ Recommended optional programme components :  
  • Programming skills
  • Basic math
  • Elements of probabilities and statistics
Planned learning activities and teaching methods :  
  • Oral Courses
  • Seminars
  • Group project
Mode of delivery (face-to-face ; distance-learning) :  
Face-to-face delivery.
Recommended or required readings :  
The course is largely based on the book Robotics, Vision and Control: Fundamental Algorithms in MATLAB, written by Peter Corke, published by Springer in 2011. See the course page for download and purchase information.
Assessment methods and criteria :  
Group project (evaluating the assimilation of practical notions) and exam (evaluating the assimilation of theoretical notions).
Work placement(s) :  
Organizational remarks :  
Course webpage:
Contacts :  
Renaud Detry:


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