Robot Toychest - fastdev

facetracking

anonymous@undisclosed.example.com (Anonymous) — Tue, 15 Jun 2010 14:15:55 +0000

* On the Face Tracking Computer 1. Install ROS box-turtle (http://www.ros.org/wiki/ROS/Installation/Ubuntu/Deb) 2. Check out tumros-internal repository: git clone gitosis@git9.in.tum.de:tumros-internal 3. OID5 Code Repository! Give your public ssh key to Alexis for this to work! hg clone ssh://repo@nibbler.informatik.tu-muenchen.de//work/repos/hg/oid5

gcc

anonymous@undisclosed.example.com (Anonymous) — Tue, 11 May 2010 08:46:14 +0000

GNU C compiler: Adding #include statements recently, g++ has stopped to include some standard headers automatically. To make old code compile again, just include those headers manually. But: which ones do we need? NOTE:

is usually different from

harware

anonymous@undisclosed.example.com (Anonymous) — Wed, 29 Oct 2008 04:45:07 +0000

Hardware The toolkit for the seminar includes hardware from the company Phidgets. Specifically, the kit contains: * One Phidget Interface Kit (8/8/8) with integrated LCD screen. Link * One Phidget RFID reader. Link * Several sensors: Voltage, current, light, slider, rotation sensor, touch sensor.

icub_lego_demo

anonymous@undisclosed.example.com (Anonymous) — Mon, 13 Sep 2010 14:40:01 +0000

iCub lego demo Installation Here are the steps taken to put the iCub to grab Lego pieces and hopefully put them together. Installing and setting up ROS in debian sid Take a look in the official documentation or if you are using debian sid. Here we include a fast step-by-step guide of how to do it with debian sid.

icub_memoman

anonymous@undisclosed.example.com (Anonymous) — Thu, 29 Jul 2010 10:09:38 +0000

iCub imitation demo PLEASE look at the last warning point in this page before trying to execute this demo. In the robot * Start up the iCub robot. Instructions here. In a client computer Prerequisites: yarp libraries, python, python-numpy, NFS-mount of /usr/demos maybe others

latex_pdf_videos

anonymous@undisclosed.example.com (Anonymous) — Fri, 11 Mar 2016 12:19:07 +0000

Videos in pdf using LaTeX The info on this page was deprecated. The new way is to use the latex package called media9. But it will only work for Win/MacOS/Android and not for Linux, since the Adobe Acrobat Reader for Linux stopped including the Flash plugin because of security after version 9.5.2. You could still find Version 9.5.1 somewhere, but it is not worth the hassle.

ml

anonymous@undisclosed.example.com (Anonymous) — Wed, 29 Oct 2008 04:43:25 +0000

Machine Learning Neural networks Some general information about machine learning: List of Sites with machine learning software: * WEKA * machine learning open source software * fast artificial neural networks * Torch * Numenta * Bayes++ * General Hidden Markov Model library (GHMM) * Stuttgart Neural Network Simulator * SVM Light (Support Vector Machines) * * *

nahd

anonymous@undisclosed.example.com (Anonymous) — Fri, 23 Nov 2007 02:13:01 +0000

NAHD You can download the code here: [Seminar training code] [Complete Nahd code]

neural_networks

anonymous@undisclosed.example.com (Anonymous) — Wed, 20 Jun 2007 10:04:10 +0000

Artificial Neural Networks Natural neural networks This is the drawing of a natural neural network. [natural_neural_network] Artificial neural networks are based on natural neural networks. * Natural neural networks use “spikes” of energy to transmit information from one neuron to the other.

phidget_yarp

anonymous@undisclosed.example.com (Anonymous) — Thu, 24 Nov 2011 14:20:14 +0000

Phidgets software The phidgets software consist of 1) a C library to comunicate with the hardware and 2) the python bindings that uses this library. Here are the installation instructions. Phidgets C library * Download the software inside of your home directory in ~/local/src:

playerstage

anonymous@undisclosed.example.com (Anonymous) — Thu, 15 Jan 2009 16:00:56 +0000

Player / Stage / Gazebo The Player/Stage/Gazebo project is a complete free-software middleware for robotic applications. It is hosted at Sourceforge. It consists of three main parts: * Player: Control and monitoring software for real hardware. It interacts with robots, sensors, cameras, and other devices (

python_qt

anonymous@undisclosed.example.com (Anonymous) — Wed, 11 Nov 2009 11:35:06 +0000

Python + Qt This explains how to program a very simple application with python and QT. import sys from PyQt4 import QtGui,QtCore app=QtGui.QApplication(sys.argv) main_widget=QtGui.QWidget() button=QtGui.QPushButton("test", main_widget) main_widget.show() main_widget.setWindowTitle("test application") def testprint(): print "Works" QtCore.QObject.connect(button,QtCore.SIGNAL("clicked()"),testprint) sys.exit(app.exec_())

python_signals

anonymous@undisclosed.example.com (Anonymous) — Wed, 11 Nov 2009 11:33:02 +0000

Python + Filters + FFT + Gnuplot Noise [white noise] Filters Linear filters There are five basic parameters to design a filter: wp (pass frequency), ws (stop frequency), gpass (pass gain), gstop (stop gain), filter type [filter design parameters] [filter design parameters2] [fir filter] [iir filter] [types of filters] Non linear filters Median filter

qt

anonymous@undisclosed.example.com (Anonymous) — Thu, 19 Apr 2007 20:16:19 +0000

QT from Trolltech We have chosen QT as the development framework for the GUI on the PC. It is very fast, supports multiple platforms (GNU/Linux, Windows, MacOS), and is coded in C++. QT has excellent documentation here. The computers that we are using are running Debian GNU/Linux unstable, with QT version 4.2. The

software

anonymous@undisclosed.example.com (Anonymous) — Thu, 24 Nov 2011 14:26:10 +0000

Software Here you will find information about the software used in the seminar. Specifically: * The Player/Stage/Gazebo project (documentation). * QT from Trolltech * New demo is the light sensor trainer. * Obsolete old demo application: NAHD, or “Not Another Hair Dryer”, or “Hair dryer 3000!!

start

anonymous@undisclosed.example.com (Anonymous) — Wed, 20 Jun 2007 10:06:10 +0000

Fast development with phidgets + player/stage + QT * Hardware used: Toolkit, etc. * Software The following is a hardware overview from the environment to the User on the computer: [Hardware description] This diagram shows the way sensors are connected on the Phidgets: This shows the software architecture on systems using Phidgets with the Player/Stage middleware:

theora

anonymous@undisclosed.example.com (Anonymous) — Thu, 20 May 2010 15:32:54 +0000

Encoding Ogg Theora Video from Almost Anything Encoding Ogg Theora videos using free software tools might not be obvious, since MEncoder has no Theora encoding support whatsoever and FFmpeg wants to use its own Theora encoder and Ogg multiplexer, which are broken and/or worse than libtheora. This means you have to rely on Theora-specific tools like the libtheora example encoder or

windows_linux_installation

anonymous@undisclosed.example.com (Anonymous) — Mon, 29 Nov 2010 22:40:04 +0000

How to install Windows and Ubuntu on one machine 1. Description A Wiki for the 2011 Diploma Students! 2. Prerequisites * PC * External HDD * Windows 7 Professional Link * Ubuntu 10.04 LTS Link * And 3 hours of your time 3. Installation *