PDRVLA: A Vision-Language-Action Model with Physical Dynamics Representations
Overview
This paper presents PDRVLA, a new Vision-Language-Action (VLA) model that integrates a lightweight Physical Dynamics Module to extract physical tokens from vision-language features for conditioning action generation.
Generated from attributed reports · Updated 1 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Environment: simulation
“hought (ECoT) annotation. Across four simulation benchmarks, PDRVLA achieves success rates of 99.3% on LIBERO, 89.9% on LIBERO-Plus, 93.6% on RoboTwin~2.0, and 81.5% on SimplerEnv. Ablations show improved future prediction with world-model supervision and evaluate how subtask conditioning, future object-pose supervision, and ECoT training affect action success.”
Exact source · revision 2Source owner not reported
Reported quantity · Reported success rate: 99.3 percent · reported trials
“hought (ECoT) annotation. Across four simulation benchmarks, PDRVLA achieves success rates of 99.3% on LIBERO, 89.9% on LIBERO-Plus, 93.6% on RoboTwin~2.0, and 81.5% on SimplerEnv. Ablations show improved future prediction with world-model supervision and evaluate how subtask conditioning, future object-pose supervision, and ECoT training affect action success.”
Exact source · revision 2Source owner not reported
Evidence dependency changes (1)
- 2026-11-02T19:23:24.775Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
Report timeline
Follow attributed reports and material updates.
- arXiv Robotics — research abstractsSignalPDRVLA: A Vision-Language-Action Model with Physical Dynamics Representations
This paper presents PDRVLA, a new Vision-Language-Action (VLA) model that integrates a lightweight Physical Dynamics Module to extract physical tokens from vision-language features for conditioning action generation.
Timezone · UTC
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).