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| Version 2013-2014 |
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| INFO0948-2 | Introduction to intelligent robotics
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| Duration : | 30h Th, 4h Pr, 80h Proj. |
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| Number of credits : |
| Master in Electrical Engineering, research focus, 2nd year | | 5 |
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| Master of science in computer science and engineering, research focus, 1st year | | 5 |
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| Master of science in computer science and engineering, research focus, 2nd year | | 5 |
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| Master in Computer science, Research Focus, 1st year | | 5 |
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| Master in Computer science, Research Focus, 2nd year | | 5 |
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| Master of science in computer science and engineering, professional focus in management, 1st year | | 5 |
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| Master in Computer Science, Professional Focus (Management), 1st year | | 5 |
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| Lecturer : | Renaud Detry |
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Language(s) of instruction :
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| English language |
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Organisation and examination :
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| Teaching in the second semester |
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Course contents :
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| 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 http://renaud-detry.net/teaching/info0948/ |
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Learning outcomes of the course :
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| 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). |
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Prerequisites and co-requisites/ Recommended optional programme components :
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- Programming skills
- Basic math
- Elements of probabilities and statistics
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Planned learning activities and teaching methods :
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- Oral Courses
- Seminars
- Group project
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Mode of delivery (face-to-face ; distance-learning) :
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| Face-to-face delivery. |
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Recommended or required readings :
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| 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. |
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Assessment methods and criteria :
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| Group project (evaluating the assimilation of practical notions). |
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Work placement(s) :
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Organizational remarks :
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| Course webpage: http://renaud-detry.net/teaching/info0948/ |
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Contacts :
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| Renaud Detry: http://renaud-detry.net |
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