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IntEL4CoRo · Mar 6, 2024 · bcb75e3 · bcb75e3
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diff --git a/content/page/labs/Food Cutting Robots/index.md b/content/page/labs/Food Cutting Robots/index.md
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 Challenge: We want to enable robots to learn everyday manipulation tasks from the Web and thus make abstract knowledge 
 actionable. This challenge is important for robots that can perform a wide breadth of manipulation tasks and task variations, that can be performed by various robots using various tools for a variety of purposes. For a robot to successfully perform such a breadth of maniulation actions, it needs to understand given tasks. We start tackling this challenge by focusing on selected task domains, starting with cutting.
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 Interactive Actions and/or Examples
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 For Detailed information click 
 <a href="https://food-ninja.github.io/WebKat-MealRobot//">here!</a> 
 

diff --git a/content/posts/Food Cutting Robots/index.md b/content/posts/Food Cutting Robots/index.md
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 Challenge: We want to enable robots to learn everyday manipulation tasks from the Web and thus make abstract knowledge 
 actionable. This challenge is important for robots that can perform a wide breadth of manipulation tasks and task variations, that can be performed by various robots using various tools for a variety of purposes. For a robot to successfully perform such a breadth of maniulation actions, it needs to understand given tasks. We start tackling this challenge by focusing on selected task domains, starting with cutting.
 <param class="hidde-after-preview">
-{{<action_form data="ActionButtons">}}
 
 
 
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+For Detailed information click <a href="http://localhost:1313/ViB-public/page/labs/food-cutting-robots/">here!</a> 
 
 
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-{{<action_form data="ActionButtons">}}
 
 
-For Detailed information click <a href="https://food-ninja.github.io/WebKat-MealRobot//">here!</a> 
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 <h2>Gathering and Linking Web Knowledge</h2>
 
 <font size="3">To support robotic agents in executing variations of <i>Cutting</i> on different <i>fruits and vegetables</i>, we collect two types of knowledge in our knowledge graph: <b>action</b> and <b>object knowledge</b>.