Sensing et Perception

General Data
Academic program	Incoming Exchange Student Courses			Module Manager(s) : GIBERT Guillaume
EC Type : Lectures	Sensing et Perception (LIIExp06ESensPerc)
Tutorials : 4h00 Lab Work : 12h00 Lectures : 8h00 Individual work : 12h00 Total duration: 36h00	Status Obligatoire	Period Semester 6_Robotic And Automation	Teaching language : English

General objectives
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)

General objectives

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
-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

Corequis
-Metrology -Computer programming -Object-oriented programming -Simulation and numerical calculation -Electronics -Digital design and embedded software -Signal processing

Bibliographie
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