Données Générales | ||||
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Programme Académique | Incoming Exchange Student Courses | Responsable(s) Module :
GIBERT Guillaume |
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Type d'EC : Cours | Sensing et Perception (LIIExp06ESensPerc) | |||
TD : 4h00 TP : 12h00 Cours : 8h00 Travail personnel : 12h00 Durée totale: 36h00 |
Status
Obligatoire |
Periode
Semester 6_Robotic And Automation |
Langue d'enseignement :
English |
Objectifs Généraux |
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By the end of this course, students will be able to: 1. Understand the physics and functioning of various sensors used in robotics 2. List all the elements of the Data Acquisition Chain and their features 3. Acquire the know-how for characterizing and calibrating sensors 4. Acquire the methodology to dimensioning sensors for specific applications 5. Apply knowledge in signal processing and statistics to robotic contexts 6. Create a Data Acquisition Chain from scratch 7. Program a microcontroller to sample data accurately 8. Learn the basics of image processing 9. Develop good programming practices (documentation, test, git/gitflow) |
Contenu |
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-Inertial sensors, GPS and odometry / sonar sensing / vision, bio-inspired sensors, force sensors -Transformation of information into electric properties and its implication -Signal conditioning -ADC: sampling, quantization, windowing -MCU: Application of data acquisition, data analysis, data processing -Introduction to image processing |
Prérequis |
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-Metrology -Computer programming -Object-oriented programming -Simulation and numerical calculation -Electronics -Digital design and embedded software -Signal processing |
Bibliographie |
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Essential resources: None Recommended resources: Handbook of Modern Sensors, Fraden J., AIP Press, Springer Corke P. (2011) Image Processing. In: Robotics, Vision and Control. Springer Tracts in Advanced Robotics, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20144-8_12 |