scenario execution

_includes/projects.html

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   <h3>Projects</h3>
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+            <i class="fa fa-github"></i>&nbsp;&nbsp;<strong><a href="https://github.com/IntelLabs/scenario_execution">Scenario Execution for Robotics</a></strong>
+        <p>
+            I am a contributor and co-developper of Scenario Execution for Robotics, a backend- and middleware-agnostic library, that enables the robotics community to perform reproducible experiments at scale and allows a seamless transition from simulation to real-world experiments.
+            Scenario Execution is written in Python and builds upon the generic scenario description language <a href="https://www.asam.net/static_downloads/public/asam-openscenario/2.0.0/welcome.html">OpenScenario2</a> and <a href="https://py-trees.readthedocs.io/en/devel/" target="_blank">pytrees</a>.
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+            Scenario Execution reads a scenario definition from a file, translates it to a py-trees behavior tree and then executes it. 
+            This separation of the scenario definition from the implementation massively reduces the manual efforts of (robotics) scenario creation.
+            Although Scenario Execution can be used as a pure Python library, it is mainly targeted to be used with the <a href="https://www.ros.org/" target="_blank">Robot Operating System (ROS2)</a>.
+            The backend-agnostic implementation allows Scenario Execution to be used with both, robotics simulators such as <a href="https://gazebosim.org/" target="_blank">Gazebo</a> and physical robots, with minimal adaptations necessary in the scenario description file. 
+            <div style="text-align:center">
+              <a class="Scneario execution" href="{{ site.baseurl }}assets/images/scenario.gif" data-lightbox="Scneario execution" data-title="Scenario execution"><img class="se-small" src="{{ site.baseurl }}assets/images/scenario.gif" style="width:15%;height:15%;" alt=""/></a>
+            </div>
+        </p>
+    </h5>
         <h5>
             <i class="fa fa-github"></i>&nbsp;&nbsp;<strong><a href="https://github.com/fmirus/spa_capacity_analysis">Capacity analysis of distributed representations based on Vector Symbolic Architectures (VSAs)</a></strong>
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