rambo

Author: Guanya Shi

publications.html

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-    <table width="880" border="0" align="center" cellspacing="0" cellpadding="0">
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-                <img src='publications/2025_RAMBO.gif' width="95%">
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-            <papertitle>RAMBO: RL-augmented Model-based Optimal Control for Whole-body Loco-manipulation</papertitle>
-            <br>
-            Jin Cheng, Dongho Kang, Gabriele Fadini, Guanya Shi, Stelian Coros
-            <br>
-            <a href="https://arxiv.org/abs/2504.06662" target="_blank"><i class="far fa-file"></i> paper</a> &nbsp
-            <a href="https://jin-cheng.me/rambo.github.io/" target="_blank"><i class="fas fa-globe"></i> website</a>
-            <p style="margin-top: 5px"><i class="fas fa-comment-dots"></i> TL;DR: We integrate model-based reaction force optimization and RL, to get the best of both worlds for accurate and robust loco-manipulation.
-        </td>
-    </tr>
-    </table>
-
-    <br>
-
     <table width="880" border="0" align="center" cellspacing="0" cellpadding="0">
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     </tr>
     </table>
 
+    <table width="880" border="0" align="center" cellspacing="0" cellpadding="0">
+    <tr>
+        <td style="width:35%; vertical-align:middle; padding-right: 20px;">
+            <div class="image-container">
+                <img src='publications/2025_RAMBO.gif' width="95%">
+            </div>
+        </td>
+        <td style="width:65%; vertical-align:middle">
+            <papertitle>RAMBO: RL-augmented Model-based Optimal Control for Whole-body Loco-manipulation</papertitle>
+            <br>
+            Jin Cheng, Dongho Kang, Gabriele Fadini, Guanya Shi, Stelian Coros
+            <br>
+            <em>IEEE Robotics and Automation Letters (RA-L)</em>, 2025
+            <br>
+            <a href="https://arxiv.org/abs/2504.06662" target="_blank"><i class="far fa-file"></i> paper</a> &nbsp
+            <a href="https://jin-cheng.me/rambo.github.io/" target="_blank"><i class="fas fa-globe"></i> website</a>
+            <p style="margin-top: 5px"><i class="fas fa-comment-dots"></i> TL;DR: We integrate model-based reaction force optimization and RL, to get the best of both worlds for accurate and robust loco-manipulation.
+        </td>
+    </tr>
+    </table>
+
+    <br>
+
     <table width="880" border="0" align="center" cellspacing="0" cellpadding="0">
     <tr>
         <td style="width:35%; vertical-align:middle; padding-right: 20px;">