While generalist vision-language-action (VLA) models have enabled diverse open-world manipulation, real-world robotic assistance requires two critical capabilities they currently lack: personalization and reliable execution. First, executing an instruction like"make me a sandwich"requires grounding subtask decompositio...
Zixuan Wang, Yu-Qi Liu, Yu-Xin Chen et al.· 0 citations
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.· arXiv.org· 49 citations· ⚡11
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.· 8 citations
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.
