Update README.md

README.md

@@ -55,7 +55,7 @@ This resulted in a high-performance VLA model on a tiny-scale backbone.
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-    <td rowspan="9">Large-scale</td>
+    <td rowspan="10">Large-scale</td>
    <td>FlowVLA (Zhong et al., 2025)</td>
    <td>8.5B</td><td>93.2</td><td>95.0</td><td>91.6</td><td>72.6</td><td>88.1</td>
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@@ -101,7 +101,12 @@ This resulted in a high-performance VLA model on a tiny-scale backbone.
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   <tr>
-  <td rowspan="7">Small-scale</td>
+   <td>PD-VLA (Song et al., 2025b)</td>
+   <td>7B</td><td>95.5 </td><td>96.7</td><td> 94.9</td><td> 91.7</td><td> 94.7</td>
+  </tr>
+
+  <tr>
+  <td rowspan="8">Small-scale</td>
    <td>4D-VLA (Zhang et al., 2025)</td>
    <td>4B</td><td>88.9</td><td> 95.2</td><td> 90.9</td><td> 79.1 </td><td>88.6</td>
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@@ -136,6 +141,11 @@ This resulted in a high-performance VLA model on a tiny-scale backbone.
    <td>2B</td><td>94.4</td><td> 97.6 </td><td>93.0 </td><td>90.6</td><td> 93.9</td>
   </tr>
 
+  <tr>
+   <td>GraspVLA (Deng et al., 2025)</td>
+   <td>1.8B</td><td>-</td><td> 94.1 </td><td>91.2 </td><td>82.0</td><td> 89.1</td>
+  </tr>
+
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     <td rowspan="4">Tiny-scale</td>
    <td>Seer (Tian et al., 2025)</td>