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     <title>Learning Task Planning from Multi-Modal Demonstration for Multi-Stage Contact-Rich Manipulation</title>
 
-    <meta name="description" content="Dextrous Code as Policies: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks">
+    <meta name="description" content="An in-context learning framework that incorporates tactile and force-torque information from human demonstrations to enhance LLMs' ability to generate plans for new task scenarios. ">
     <meta name="viewport" content="width=device-width, initial-scale=1">
 
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