Added other information in the README

README.md

@@ -20,20 +20,22 @@ Copyright (C) 2014, Davide De Tommaso, Milad Malekzadeh, Leonel Rozo, Tohid Aliz
 
     PbDLib is an open source C++ library for using the Programming-by-Demonstration machine learning tools in your C++ code. Most of the tools provided by PbDLib are implementations of the algorithms described in the book "Robot Programming by Demonstration: A Probabilistic Approach" (Sylvain Calinon, 2009) and other related scientific publications.
 
-For more information please visit http://programming-by-demonstration.org
+    You can download the source code at http://github.com/ddetommaso/pbdlib
+
+    For more information about Programming-by-Demonstration please visit http://programming-by-demonstration.org
 
 
 # 2. Contributors:
 
     PbDLib has been developed as part of the research activities inside the Learning and Interaction Group, Advanced Robotics Dept at the Istituto Italiano di Tecnologia, Genova.
-In the following the list of the contributors
+    In the following you can find the list of the contributors
 
     Davide De Tommaso ----> dtmdvd[at]gmail[dot]com
     Milad Malekzadeh  ----> milad[dot]malekzadeh[at]gmail[dot]com
     Leonel Rozo ----------> ing[dot]leonelrozo[at]gmail[dot]com
     Tohid Alizadeh -------> tohid[dot]alizadeh[at]gmail[dot]com
 
-For more information about research please visit 
+    For more information about the research of the group please visit
     http://www.iit.it/en/advr-labs/learning-and-interaction.html
 
 
@@ -43,6 +45,7 @@ http://www.iit.it/en/advr-labs/learning-and-interaction.html
     ### 1.1 Dependences (you can find in deps directory)
 	(1) Armadillo C++ versions >3.9
 	(2) CMake
+	(3) Doxygen
 
     ### 1.2 Building
 	$ mkdir build
@@ -54,10 +57,15 @@ http://www.iit.it/en/advr-labs/learning-and-interaction.html
 	$ cd build/test
 	$ ./test_datapoints
 
+    ### 1.4 Documentation generation
+	$ cd doc
+	$ doxygen Doxyfile
+
 
 # 4. Some useful citations
 
     Did you find PbDLib useful for your research?
+
     Please consider to acknowledge the authors in any academic publications that have made use of this code or part of it. In the following you can find some code related BibTex references:
 
 
@@ -69,6 +77,7 @@ Please consider to acknowledge the authors in any academic publications that hav
 	note="{EPFL} {P}ress {ISBN} 978-2-940222-31-5, {CRC} {P}ress {ISBN} 978-1-4398-0867-2"
     }
 
+
     @article{Calinon07SMC,
   	title="On Learning, Representing and Generalizing a Task in a Humanoid Robot",
   	author="S. Calinon and F. Guenter and A. Billard",
@@ -100,4 +109,9 @@ Please consider to acknowledge the authors in any academic publications that hav
 	pages="323--329"
     }
 
+# 5. Future collaborations
+
+    Did you find a bug or a more efficient way for implementing some library's feature?
+    Any help for improving the PbDLib are welcome!
+    Please contact us or visit http://github.com/ddetommaso/pbdlib