Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning
While significant research has focused on developing embodied reasoning
capabilities using Vision-Language Models (VLMs) or integrating advanced VLMs
into Vision-Language-Action (VLA) models for end-to-end robot control, few
studies directly address the critical gap between upstream VLM-based reasoning
and downstream VLA policy learning. In this work, we take an initial step
toward bridging embodied reasoning with VLA policy learning by introducing
Vlaser - a Vision-Language-Action Model with synergistic embodied reasoning
capability, which is a foundational vision-language model designed to integrate
high-level reasoning with low-level control for embodied agents. Built upon the
high-quality Vlaser-6M dataset, Vlaser achieves state-of-the-art performance
across a range of embodied reasoning benchmarks - including spatial reasoning,
embodied grounding, embodied QA, and task planning. Furthermore, we
systematically examine how different VLM initializations affect supervised VLA
fine-tuning, offering novel insights into mitigating the domain shift between
internet-scale pre-training data and embodied-specific policy learning data.
Based on these insights, our approach achieves state-of-the-art results on the
WidowX benchmark and competitive performance on the Google Robot benchmark.
68edc292de1fee572713a8a7
Ganlin Yang
claimed_verified
2025-10-14T07:30:25.854Z
6565d7149afd51867e55520b
/avatars/027b17651e61df598af53f69b92e7771.svg
Ganlin Yang
user
ganlinyang
68edc292de1fee572713a8a8
Tianyi Zhang
claimed_verified
2025-10-14T10:23:41.785Z
64c9e86a6a26cddbecd9bae2
/avatars/61a84989dbbc1898ebcba3236dbed039.svg
Tianyi Zhang
user
TianyiZhang0213
68edc292de1fee572713a8a9
Haoran Hao
claimed_verified
2025-10-14T07:30:20.398Z
669e221425f2081c6e3d8b61
https://cdn-avatars.huggingface.co/v1/production/uploads/669e221425f2081c6e3d8b61/OearXzKrvoIZtDKTH4kje.jpeg
Haoran Hao
user
Hoar012
68edc292de1fee572713a8aa
Weiyun Wang
68edc292de1fee572713a8ab
Yibin Liu
68edc292de1fee572713a8ac
Dehui Wang
68edc292de1fee572713a8ad
Guanzhou Chen
claimed_verified
2025-10-14T07:30:22.944Z
6624ba6d79d897d7ddee24b5
https://cdn-avatars.huggingface.co/v1/production/uploads/6624ba6d79d897d7ddee24b5/eHkAquXvHBlCNNgaRDYgG.jpeg
Guanzhou Chen
user
Rayment
68edc292de1fee572713a8ae
Zijian Cai
68edc292de1fee572713a8af
Junting Chen
68edc292de1fee572713a8b0
Weijie Su
68edc292de1fee572713a8b1
Wengang Zhou
68edc292de1fee572713a8b2
Yu Qiao
68edc292de1fee572713a8b3
Jifeng Dai
68edc292de1fee572713a8b4
Jiangmiao Pang
68edc292de1fee572713a8b5
Gen Luo
68edc292de1fee572713a8b6
Wenhai Wang
68edc292de1fee572713a8b7
Yao Mu
68edc292de1fee572713a8b8
Zhi Hou
Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning
While significant research has focused on developing embodied reasoning
capabilities using Vision-Language Models (VLMs) or integrating advanced VLMs
into Vision-Language-Action (VLA) models for end-to-end robot control, few
studies directly address the critical gap between upstream VLM-based reasoning
and downstream VLA policy learning. In this work, we take an initial step
toward bridging embodied reasoning with VLA policy learning by introducing
Vlaser - a Vision-Language-Action Model with synergistic embodied reasoning
capability, which is a foundational vision-language model designed to integrate
high-level reasoning with low-level control for embodied agents. Built upon the
high-quality Vlaser-6M dataset, Vlaser achieves state-of-the-art performance
across a range of embodied reasoning benchmarks - including spatial reasoning,
embodied grounding, embodied QA, and task planning. Furthermore, we
systematically examine how different VLM initializations affect supervised VLA
fine-tuning, offering novel insights into mitigating the domain shift between
internet-scale pre-training data and embodied-specific policy learning data.
Based on these insights, our approach achieves state-of-the-art results on the
WidowX benchmark and competitive performance on the Google Robot benchmark.
Vlaser, a Vision-Language-Action Model, integrates high-level reasoning with low-level control for embodied agents, achieving state-of-the-art performance in embodied reasoning tasks and competitive results in robot benchmarks.
Vision-Language Models Vision-Language-Action models embodied reasoning Vlaser Vlaser-6M dataset spatial reasoning embodied grounding embodied QA task planning supervised VLA fine-tuning domain shift WidowX benchmark Google Robot benchmark