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Pengguang Chen

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StarVLA-α: Reducing Complexity in Vision-Language-Action Systems

This work introduces StarVLA-$\alpha, a simple yet strong baseline designed to study VLA design choices under controlled conditions that deliberately minimizes architectural and pipeline complexity to reduce experimental confounders and enable systematic analysis.

Jinhui Ye, Ning Gao, Sen-Qiao Yang et al. · 49 citations · ⚡11
Preprint Aug 2026

Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models

This work proposes VLAct, a VLA-oriented VLM backbone trained on broad, heterogeneous, multi-embodiment robot data before task-specific fine-tuning, showing that representation-centric continued pre-training can deliver highly competitive performance under a modest compute budget and is an important independent axis of...

Sen-Qiao Yang, Cheng-Yao Wang, Yu-Xin Chen et al. · 7 citations · ⚡1
Preprint Aug 2026

XPolicyLab: A Unified Standard and Open Ecosystem for Robot Policy Evaluation and Deployment

Xpolicylab is released as shared infrastructure for reproducible policy comparison and standardized deployment across simulation and physical platforms for reproducible policy comparison and standardized deployment across simulation and physical platforms.

XPolicyLab Community, Tian-Xing Chen, Yue Chen et al. · 6 citations · ⚡1

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