Author

Wen-Tong Li

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Preprint Sep 2026

EmbodiedSkills: World Action Model-augmented Cascaded Skills for Vision-Language-Action Agent

Vision-language-action (VLA) policies generate executable robot actions, but plausible proposals can have different consequences for the task. We present EmbodiedSkills, a skill-based agent framework that augments frozen VLA policies with world action models for consequence-aware action selection. The framework defines...

Wei Wang, Wen-Qiao Zhang, Yu-Tong Lin et al. · 2 citations

Preprint Oct 2026

GeoScaffold: Learning Compact Geometric Latents via Reconstruction for Efficient Vision-Language Navigation

Recent vision-and-language navigation (VLN) systems increasingly adopt streaming Video-LLM policies that map egocentric RGB observations and instructions directly to low-level actions. Yet these policies inherit weak 3D geometric priors from 2D pretraining. Existing geometry-aware extensions charge a persistent inferen...

Yi-Xuan Jiang, Wen-Tong Li, An Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

EmbodiedSkills: A Unified Framework for Orchestrating, Training, and Deploying VLA Agents

EmbodiedSkills is a unified framework that treats each skill decision as an execution proposal: the runtime checks its prerequisites before execution and verifies the outcome afterward and provides a trainable and inspectable agent layer for turning low-level VLA policies into closed-loop embodied systems.

Wei Wang, Wen-Qiao Zhang, Yu-Tong Lin et al. · 3 citations