wafr

Author: GuanyaShi

publications.html

@@ -158,27 +158,6 @@
     </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;">
-            <div class="image-container">
-                <img src='publications/2024_DPO-IK.png' width="85%">
-            </div>
-        </td>
-        <td style="width:65%; vertical-align:middle">
-            <papertitle>Propagative Distance Optimization for Constrained Inverse Kinematics</papertitle>
-            <br>
-            Yu Chen, Yilin Cai, Jinyun Xu, Zhongqiang Ren, Guanya Shi, Howie Choset
-            <br>
-            <a href="https://arxiv.org/abs/2406.11572" target="_blank"><i class="far fa-file"></i> paper</a> 
-            <p style="margin-top: 5px"><i class="fas fa-comment-dots"></i> TL;DR: We propose a fast and scalable method for high-dim constrained IK problems, based on propagative distance-based optimization.
-            </p>
-        </td>
-    </tr>
-    </table>
-
     <br> 
     <br>  
 
@@ -266,6 +245,29 @@
 
     <br>
 
+    <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/2024_DPO-IK.png' width="85%">
+            </div>
+        </td>
+        <td style="width:65%; vertical-align:middle">
+            <papertitle>Propagative Distance Optimization for Constrained Inverse Kinematics</papertitle>
+            <br>
+            Yu Chen, Yilin Cai, Jinyun Xu, Zhongqiang Ren, Guanya Shi, Howie Choset
+            <br>
+            <em>International Workshop on the Algorithmic Foundations of Robotics (WAFR)</em>, 2024
+            <br>
+            <a href="https://arxiv.org/abs/2406.11572" target="_blank"><i class="far fa-file"></i> paper</a> 
+            <p style="margin-top: 5px"><i class="fas fa-comment-dots"></i> TL;DR: We propose a fast and scalable method for high-dim constrained IK problems, based on propagative distance-based optimization.
+            </p>
+        </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;">