Incoming Exchange Student Courses
| General Data | ||||
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| Academic program | Incoming Exchange Student Courses | :
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| Type d'EC | Classes (LIIEXP06ESensPerc) | |||
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Status :
Obligatoire |
Period :
Semester 6_Robotique and Automation |
Education language :
English |
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| Learning Outcomes |
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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) |
| Content |
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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 |
| Pre-requisites / co-requisites |
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| -Metrology -Computer programming -Object-oriented programming -Simulation and numerical calculation -Electronics -Digital design and embedded software -Signal processing |
| Bibliography |
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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 |