updating the last page

Author: Avamegyeri

build/doctrees/content/m1/introduction.doctree

@@ -13,9 +13,7 @@ We hope you find this resource useful, and that you commit the time and effort t
 
 Code for this wesbite can be found on our `Github page <https://github.com/tarstutorials/robotsensorint>`_.
 
-Additionally, the robotic project used in the creation of this site have been uploaded to our GitHub page as well, at `TarsTutorials <https://github.com/tarstutorials>`_. 
-Each project is named with the prefix "robotsensorint-", so that you know which repositories are associated with this website.
-
+Additionally, the robotic project used in the creation of this site have been uploaded to our GitHub page as well, at `robotsensorint <\https://github.com/Terascale-All-sensing-Research-Studio/robotsensorint>`_. 
 
 .. note::
     This course assumes the reader has some prerequiste knowledge on programming. It will go in-depth into Python packages but will not cover the general Python knowledge needed.

build/doctrees/content/m5/integrationwrobots.doctree

@@ -12,7 +12,7 @@ Its finally time to combine the Kinova and Delsys API.
 The goal is to create a robot-to-human handover where the robot grabs the object and uses sensor based thresholding to detect when to release the object into your hand.
 
 This section walks you through the entire process, explaining each part of code and its purpose.
-You can follow the steps below or clone the repo to access the complete code.
+You can follow the steps below or clone the `repo <https://github.com/Terascale-All-sensing-Research-Studio/robotsensorint>` to access the complete code.
 
 #. Imports
 

build/doctrees/environment.pickle

@@ -103,8 +103,7 @@ <h1>Introduction to the course<a class="headerlink" href="#introduction-to-the-c
 <p>While this course centers around the Kinova Gen3 robotic arm, the techniques and principles are applicable to a wide range of robotic systems.
 We hope you find this resource useful, and that you commit the time and effort to building your skills in these two rapidly growing fields.</p>
 <p>Code for this wesbite can be found on our <a class="reference external" href="https://github.com/tarstutorials/robotsensorint">Github page</a>.</p>
-<p>Additionally, the robotic project used in the creation of this site have been uploaded to our GitHub page as well, at <a class="reference external" href="https://github.com/tarstutorials">TarsTutorials</a>.
-Each project is named with the prefix “robotsensorint-”, so that you know which repositories are associated with this website.</p>
+<p>Additionally, the robotic project used in the creation of this site have been uploaded to our GitHub page as well, at <a class="reference external" href="https://github.com/Terascale-All-sensing-Research-Studio/robotsensorint">robotsensorint</a>.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>This course assumes the reader has some prerequiste knowledge on programming. It will go in-depth into Python packages but will not cover the general Python knowledge needed.</p>

build/html/_sources/content/m1/introduction.rst.txt

@@ -104,7 +104,7 @@ <h2>Creating Robotic Handover Project<a class="headerlink" href="#creating-robot
 <p>Its finally time to combine the Kinova and Delsys API.
 The goal is to create a robot-to-human handover where the robot grabs the object and uses sensor based thresholding to detect when to release the object into your hand.</p>
 <p>This section walks you through the entire process, explaining each part of code and its purpose.
-You can follow the steps below or clone the repo to access the complete code.</p>
+You can follow the steps below or clone the <cite>repo &lt;https://github.com/Terascale-All-sensing-Research-Studio/robotsensorint&gt;</cite> to access the complete code.</p>
 <ol class="arabic">
 <li><p>Imports</p>
 <blockquote>

build/html/_sources/content/m5/integrationwrobots.rst.txt

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 3e59e17415f50ff2b0d0a4473b34e09b
+config: 3c85a14ce9786b86b6e75eb9bc235507
 tags: 645f666f9bcd5a90fca523b33c5a78b7

build/html/content/m1/introduction.html

@@ -13,9 +13,7 @@ We hope you find this resource useful, and that you commit the time and effort t
 
 Code for this wesbite can be found on our `Github page <https://github.com/tarstutorials/robotsensorint>`_.
 
-Additionally, the robotic project used in the creation of this site have been uploaded to our GitHub page as well, at `TarsTutorials <https://github.com/tarstutorials>`_. 
-Each project is named with the prefix "robotsensorint-", so that you know which repositories are associated with this website.
-
+Additionally, the robotic project used in the creation of this site have been uploaded to our GitHub page as well, at `robotsensorint <\https://github.com/Terascale-All-sensing-Research-Studio/robotsensorint>`_. 
 
 .. note::
     This course assumes the reader has some prerequiste knowledge on programming. It will go in-depth into Python packages but will not cover the general Python knowledge needed.