InMOOC
MOOC on inertial tools for robotics
Second edition opens
Luc Jaulin, ENSTA-Bretagne, UBO, Lab-STICC
jaulin.inmooc@gmail.com



Lab-STICC UBO GDR MACS GDR Robotique ENSTA Bretagne DGA ROBEX Sperob SAGIP



  1. Introduction
  2. Dates
  3. Post your work
  4. Files
  5. Videos
  6. Other MOOCs







Introduction

InMOOC is a free MOOC open to everybody. It corresponds to chapter 1 of the book "Mobile Robotics, Luc Jaulin (2015), ISTE editions". This MOOC requires notions in mathematics (typically those that are needed to enter engineering schools in France).
It is supposed to be in English, but some videos associated to exercises are still in French.

Context

Inertial techniques are used in several topics of mobile robotics such as
- in inertial measurement unit (IMU), a device that measures angular rates and accelerations to estimate a position of a robot
- for finding a dynamical model for a robot in a 3D environment with a position and orientation that may change with respect to the different forces and torques.
- to compute the input to apply to the robot so that it will move toward the right direction
Inertial tools are used in different types of robots /vehicles such as autonomous aircraft, underwater robots, satellites, car, etc.
In this MOOC, you will learn who to:
- Build the sensors that are able to measure the angular rate and the accelerations of a body inside its own frame;
- Derive the state equations which a 3D robot controlled with accelerations or forces;
- Integrate these state equations using an integration algorithm (Runge-Kutta for instance);
- Characterize and control the integration errors




Registration

To register fill the form :
The registration is not mandatory to follow the MOOC and to see the videos. But it is needed to have to get the diploma.

Required

To follow InMOOC, you should have some basic notions in Python and good knowledge in mathematics. If you do not know Python, but any other programming language, you may learn easily the required notions in this MOOC.
You will have to install Python 3 in your machine (see below).

Videos

A video with explanations related to each exercise is given as soon as the lesson opens. You are not obliged to follow the method that is given in the video.







Diploma

To get the diploma, you need at least 25 points. Therefore, doing all exercises is not mandatory.
The participants who got enough points will receive a diploma corresponding this MOOC.
This diploma can be used by students to obtain the corresponding ECTS from their PhD courses, or to comply with any other requests by their home university.
If needed by your doctoral school, I can also provide a 20 minutes Skype exam with a mark, once the MOOC is finished.
An example of the diploma you can obtain :


Contact

For all questions, delays, etc send an email to jaulin.inmooc@gmail.com








Dates

, 12:00. Lesson 1. Set a rigid body in a 3D space
, 12:00. Lesson 2. Euler angles
, 12:00. Lesson 3. Inertial unit
, 12:00. Lesson 4. Dynamic modeling
, 12:00. Lesson 5. Control
, 12:00. All exercises should be posted.
, 12:00. Diplomas are sent by email









Post your work

For each lesson, you should send your solution by email to jaulin.inmooc@gmail.com
For the exercises that require the execution of a program, You should provide the Python (or other) code.
You also have to send in your email a video capture with your running program. A video should last for less than 1 minute, if possible.
A possibility is to open a youtube channel so that you can send be the associated link in the email
For the video capture, you may use 'SimpleScreenRecorder' for Linux or 'CamStudio' for Windows.
For some exercises, the solution corresponds to text and equations and no program is required. In such a case, you should post a scan of your paper sheet, (taken with you phone for instance) or any pdf file.





You can Python (or other) online

We use PyGame (Python online). Go to the project
Run to check the program is fine
Fork (for this, you will have to create an account).
Modify the program as you want.
To post your program, just send the link.










Files

pdf files for the lessons and the exercises.
Starting programs for Python users.
For Python users, use the library roblib.py.
For Python users, draw in 3D view3dlib.py.










Videos




Lesson 1. Set a rigid body in a 3D space

Open: Officially starts .
Lesson 1 is open in advance, to allow some adaptations and see how the MOOC works.

Abstract: We present the mathematical tools needed to understand inertial tools. More precisely, we introduce the rotation matrices, rotation vectors, Lie algebra and systems of coordinates.





Exercise 1. Propriété de la matrice adjointe (1 point)


Exercise 2. Identité de Jacobi (1 point)


Exercise 3. Formule de Varignon (1 point)


Exercise 4. Quaternions (1 point)
Start from the file quaternion.py in inmoocpy.zip.


Exercise 5. Lie group SE(2) (1 point)
Start from the file se2.py.
With replit.com


Exercise 6. Car on the sphere (2 points)
Start from the file car_sphere.py.
With replit.com





Lesson 2. Euler angles

Open :

Abstract: We provide a parametrization of SO(3), the set of 3D rotations, via the Euler angles. The differential calculus in SO(3) and the link with rotation vectors. These concepts are illustrated through various examples such as the drawing of 3D objects.






Exercise 7 Immersion (2 points)
Start from the file immersion.py.
With replit.com


Exercise 8. Car on the torus (2 points)
Start from the file car_on_torus.py.


Exercise 9. Robot manipulateur (1 point)
Partez du fichier staubli.py.





Lesson 3. Inertial unit

Open :

Abstract: In this lesson, we show how to build an inertial unit system that will be embedded inside a mobile robot. For this, we will provide a kinematic model of a body moving and rotating freely in the space. Using an integration of the corresponding differential equation, we will show how we can estimate the position, the orientation and the speed of the robot.






Exercise 10. Pendule de Schuler (1 point)
Partez du fichier schuler.py.


Exercise 11. Schuler oscillations in an inertial unit (1 point)
Start from the file schuler_imu.py.


Exercise 12. Graphisme robot 3D (1 point)
Partez du fichier auv3D.py.
With replit.com




View more : L'esprit sorcier : navigation inertielle
View more : Pendule de Foucault
View more : Gyroscopic precession
View more : Gyroscopic instruments




Lesson 4. Dynamic modeling

Open :

Abstract: In this lesson, you only have exercises. We show how to get and simulate three dimensional robots.

Exercise 13. Modélisation d'un robot sous-marin (1 point)


Exercise 14. Dzhanibekov effect (2 points)
Start from the file dzhanibekov.py.


Exercise 15. Euler vector field (2 points)
Start from the file euler_field.py.


Exercise 16. Floating wheel (2 points)
Start from the file wheel.py.





Lesson 5. Control

Open :

Abstract: In this lesson, you only have exercises. We give some applications of the previous theoretical tools for control, dealing with some specific problems related to mobile robotics.

Exercise 17. Lie bracket for control. (1 point)
Start from the file lie_control.py.


Exercise 18. Follow the equator. (1 point)
Start from the file equator.py.


Exercise 19. Modeling and control of a torpedo. (2 points)
Start from the file riptide.py.
With replit.com


Exercise 20. Geodesic. (2 points)
Start from the file geodesic.py.


Exercise 21. Helicopter looping. (1 points)
Start from the file helico.py.
With replit.com


Exercise 22. Hexarotor. (2 points)
Start from the file hexarotor.py.
With replit.com


Exercise 23. Scansat. (1 points)
Start from the file scansat.py.








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