How To Start New MRL

Services: 

1. Make a directory like c:\mrl  (warning no spaces in the name)
2. download the latest myrobotlab.jar from GitHub here and put it in the new directory so it looks like this


 

3. Start a command shell, type  

cd c:\mrl 

then type

java -jar myrobotlab.jar

It takes a while the first time on a computer - its extracting pieces of itself. But eventually a gui should come up. It should look like this.  You want to flip over to the "runtime" tab and press the menu System->Install All

After the services install, you should not need to download the services again.  Even if you make a new MRL directory somewhere else to try a different version - the services won't need to be downloaded, but will be copied from the local repo .. this makes it very fast.

 

Raspi + MRL + OpenCV (communal - pre - tutorial)

This is a pre-tutorial post - to get parts together and organize the "real" Tutorial

Step 1 - Load the RasPi with the latest Wheezy Rasparian image.

Ok, so this is still possible with buld 1943

I pulled this of my Pi with the video streamer...

Iniciando com o MyRobotLab: Instalação do software e seus Serviços - Versão para Windows (Portuguese Tutorial)

PT: Este breve tutorial auxilia na iniciação ao MyRobotLab dos novos usuários que tem preferência pelo idioma português.

EN: This short tutorial helps on the beginning of MyRobotLab for the newbies who prefer the portuguese language... and for the guys who want to learn portuguese. :)  So, it will be all in portuguese.

 

     Após este tutorial, você estará apto a:

Tutorial for InMoov Finger Starter

Services: 

This tutorial is based on an older version of My Robot Lab (1695) and not the current bleeding edge. You can have more than one version MRL installed/unzipped on your computer.

 Inmoov

Hardware: 


 

 

 

 

FACE TRACKING USING :OPENCV, FACE DETECT FILTER, AN ARDUINO WITH A PAN TILT KIT

Services: 

Hardware: 

Pan Tilt Kit

Face tracking using opencv + facedetect filter with my pan/tilt kit...

Facedetect filter is heavy, and webcam video flow delay from servos response...this leads to overshooting

GROG..i need a lighter facedetect filter.....video stream is  slow when i apply pirdown and face detect :(

Here is the video...

CHECK IT OUT !

[[Tracking.face.py]]

Third MRL tutorial -> take a photo (webcam) and send it by email using VOICE CONTROL (speech recognition and Text-to-speech)

Services: 

 

 

This tutorial shows how to take a photo (webcam) and send it by email using VOICE CONTROL...

WARN : There are 3 version of the python script

1) simple one - only take a photo using voice

2) full version - it requires a gmail address-take a photo + send it by email (SEE THE TUTORIAL)

3)full version ITA - for CIX, italian users, or who wants to listen the computer talking in italian :D

Good vision :D

 

Second MRL tutorial - tracking service with wiring diagram

Services: 

A tutorial that explain how to use tracking service in MRL...

Python Minimal script

[[Tracking.minimal.py]]


Python FULL AND SAFE script
[[Tracking.manual.py]]

Wiring diagram