Author

Bei Yu

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Preprint Oct 2026

CarryOn: A Dual-Loop Harness for Personalized and Reliable Robot Assistance

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

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

Jul 2026

MemVLN: Episodic and Procedural Memory for Vision-and-Language Navigation

MemVLN is proposed, a novel VLN framework that achieves state-of-the-art performance with real-time inference efficiency (14 FPS) and introduces Procedural Memory for fast action with a compact vocabulary of atomic mid-level actions to bypass auto-regressive decoding latency.

Yuqi Liu, Sheng-Ju Qian, Tianyuan Qu et al. · arXiv.org · 0 citations