LESSONS NOTICES

General notice: take a look at this link to decide which part of the course you have to follow.

Hereafter we will try to inform you which topic will be given next lessons:

14/09 – Course Introduction

Here the slides shown in class

15/09 – Mobile Robotics: Introduction to Wheeled Mobile Robotics (WMR)

Take a look at the related post here.

16/09 – Mobile Robotics: Tutorial on WMR kinamatics, etc.

Take a look at the related post here.

21/09 – Mixed Reality – History

Take a look at the related post here.

Here the registered Lesson

22/09 – Mobile Robotics: Planning approaches

Take a look at the related post here.

23/09 – Mobile Robotics: Tutorial PID and coding

Take a look at the related post here.

28/09 – No lesson

29/09 – Mixed Reality – History

Take a look at the related post here.

Here the registered lesson

30/09 – Matlab exercise – Optimization applications

Please come with your PC with MATLAB installed + ZOOM active (see the link to the post here)

You can download MATLAB with UniTn license HERE

Data that we will use can be found here.

For the PID designer, the Simulink function can be found here. , the main script here and the function here.

Figure – create a folder where you will insert the main matlab files, then a subfolder 001_Data where you insert the data already provided, and a subfolder 002_Minimization_Functions where you will insert the minimization functions

Here the registered lesson

 

05/10 – Mixed Reality

Take a look at the related post here.

Here the registered lesson

06/10 – Matlab exercise – Optimization applications

Please come with your PC with MATLAB installed + ZOOM active (see the link to the post here).

We will continue with the optimisation applications, so refer to the 30/09 date for more info.

Here the registered lesson

07/10 – Matlab exercise – Optimization applications (+Mixed Reality)

Please come with your PC with MATLAB installed + ZOOM active (see the link to the post here).

We will continue with the optimisation applications, so refer to the 30/09 date for more info.

The registration of the lesson had some problems so here the given material:

  • the matlab files of all the optimisation examples given the 06 and 07 (a curve fitting, a circle fitting, a laser scan matching for robot motion estimation in 2D, a PID control design, a system identification example). To run each example please run the main files (main_Circle.m, main_ICPEquivalent.m, … etc)
  • the updated powerpoint of the Mixed Reality current technologies. Here also the pdf version (much lighter).

12/10 – Mixed Reality

Take a look at the related post here.

Here the registered lesson

13/10 – Mixed Reality

Take a look at the related post here.

Here the registered lesson

14/10 – Mobile Robotics –

Dear All,

I am extremely sorry for my delay, I arrive around 16:30 after managing a few unforeseen difficulties.

We will recover our lesson soon. See you next week.

ACesarini.

 

19/10 – Mixed Reality Practice with UNITY

Please come with the last version of Unity installed.

 

20/10 – Mobile Robotics – Chained form kinematic model, planning and Control

Take a look at the related post here.  Information for remote connection are available at the bottom of the same page.

 

21/10 – Mobile Robotics – Tutorial on chained form

Take a look at the related post here. Information for remote connection are available at the bottom of the same page.

Note: bring the laptop with you with Matlab installed !!

 

26/10 – Mobile Robotics – Ending path/traj planning and introducing Roadmap building strategies

Take a look at the related post here.  Information for remote connection are available at the bottom of the same page.

 

27/10 – Mobile Robotics – Tutorial on clotoids, roadmap building, etc.

Take a look at the related post here. Information for remote connection are available at the bottom of the same page.

Note: bring the laptop with you with Matlab installed !!

 

28/10 – Sensor Fusion – sensors in robotics

Take a look at the related post here.

Here the registered lesson

 

02/11 – Mixed Reality Practice with UNITY

Please come with your PC and the last version of Unity installed.

 

03/11 – Sensor Fusion – fusion in frequency

Take a look at the related post here.

Note: bring the laptop with you with Matlab installed !!

 

04/11 – Sensor Fusion – fusion in frequency

Take a look at the related post here.

Note: bring the laptop with you with Matlab installed !!

 

09/11 – Mixed Reality Practice with UNITY

Please come with your PC and the last version of Unity installed.

10/11 – Mixed Reality Practice with UNITY – Homeworks announcement

Please come with your PC and the last version of Unity installed.

11/11 – Sensor Fusion – fusion in frequency

Take a look at the related post here.

Note: bring the laptop with you with Matlab installed !!

17/11 – Sensor Fusion – Singular Value Decomposition

First slides and second set of slides

Here the registered lesson.

18/11 – Sensor Fusion – 3D Imaging

Together with Mattia Tavernini (CEO of Robosense) will provide an industrial based point of view on basics and applications of 3D imaging also useful for some of the assigned homeworks.

23/11 – Mixed Reality Practice with UNITY

Please come with your PC and the last version of Unity installed.

FBX_vespa

24/11 – Mixed Reality Practice with UNITY

Please come with your PC and the last version of Unity installed.

25/11 – Sensor Fusion – Singular Value Decomposition

Third set of slides, fourth set of slides, fifth set and Tutorial on SVD and PCA

30/11 – No Lesson

01/12 – Sensor Fusion: TODAY THE CLASS STARTS AT 16:00 (30 minutes later)

SVD and we will start with statistics

02/12 – Mobile Robotics

Heuristic controls

07/12 – Sensor Fusion

Here the registered lesson

14/12 – No Lesson

But you can go in the lab with Alessandro if you need help for Homeworks (he is available from 9:00 to 15:00)

15/12 – Sensor Fusion + invited speech from industry and patients association

The first hour I’ve invited two doctors and an engineer that will speak about the application of observation technology and Mixed Reality for autism.

The other two we will continue with Sensor Fusion

Here the registered lesson

16/12 – Sensor Fusion

Here the registered lesson

21/12 – Homework

Here the registered lesson

 

General notice:

You can download MATLAB with UniTn license HERE

The Homework category is now updated with some informations already there!

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