fixing issue in introduction

Author: Avamegyeri

build/doctrees/content/m1/introduction.doctree

@@ -11,7 +11,8 @@ From there, we will guide you through combining both systems, working with an ex
 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.
 
-Code for this wesbite can be found 'here <https://github.com/tarstutorials/robotsensorint>' on our GitHub page.
+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.
 

build/doctrees/environment.pickle

@@ -58,7 +58,6 @@
 <p class="caption" role="heading"><span class="caption-text">Tutorial Modules</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="../m2/robotic_setup.html">Getting Started with Kinova</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../m3/kinovaDevelopment.html">Kinova API Development</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../m4/physiologicalsensors.html">Data Collection with Physiological Sensors</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../m5/integrationwrobots.html">Integration with Robotics</a></li>
 </ul>
@@ -103,8 +102,8 @@ <h1>Introduction to the course<a class="headerlink" href="#introduction-to-the-c
 From there, we will guide you through combining both systems, working with an example where the robot picks up an object and uses sensor-based thresholding to detect when it should release it into your hand.</p>
 <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 ‘here &lt;<a class="reference external" href="https://github.com/tarstutorials/robotsensorint">https://github.com/tarstutorials/robotsensorint</a>&gt;’ on our GitHub page.
-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>.
+<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>
 <div class="admonition note">
 <p class="admonition-title">Note</p>

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

@@ -11,7 +11,8 @@ From there, we will guide you through combining both systems, working with an ex
 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.
 
-Code for this wesbite can be found 'here <https://github.com/tarstutorials/robotsensorint>' on our GitHub page.
+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.
 

build/html/content/m1/introduction.html

@@ -58,7 +58,6 @@
 <p class="caption" role="heading"><span class="caption-text">Tutorial Modules</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="../m2/robotic_setup.html">Getting Started with Kinova</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../m3/kinovaDevelopment.html">Kinova API Development</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../m4/physiologicalsensors.html">Data Collection with Physiological Sensors</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../m5/integrationwrobots.html">Integration with Robotics</a></li>
 </ul>
@@ -103,8 +102,8 @@ <h1>Introduction to the course<a class="headerlink" href="#introduction-to-the-c
 From there, we will guide you through combining both systems, working with an example where the robot picks up an object and uses sensor-based thresholding to detect when it should release it into your hand.</p>
 <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 ‘here &lt;<a class="reference external" href="https://github.com/tarstutorials/robotsensorint">https://github.com/tarstutorials/robotsensorint</a>&gt;’ on our GitHub page.
-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>.
+<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>
 <div class="admonition note">
 <p class="admonition-title">Note</p>

build/html/searchindex.js

@@ -11,7 +11,8 @@ From there, we will guide you through combining both systems, working with an ex
 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.
 
-Code for this wesbite can be found 'here <https://github.com/tarstutorials/robotsensorint>' on our GitHub page.
+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.