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References (38)

[1]
Semantic Belief-State World Model for 3D Human Motion Prediction
2026Sarim Chaudhry
[2]
A Hierarchical Vision-Language and Reinforcement Learning Framework for Robotic Task and Motion Planning in Collaborative Manipulation
2026Junnan Zhang, Chaoxu Mu et al.
[3]
LoLA: Long Horizon Latent Action Learning for General Robot Manipulation
2025Xiaofan Wang, Xingyu Gao et al.
[4]
VL-JEPA: Joint Embedding Predictive Architecture for Vision-language
2025Delong Chen, Mustafa Shukor et al.
[5]
HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action Models
2025Minghui Lin, Pengxiang Ding et al.
[6]
STARE-VLA: Progressive Stage-Aware Reinforcement for Fine-Tuning Vision-Language-Action Models
2025Feng Xu, Guangyao Zhai et al.
[7]
AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention
2025Lei Xiao, Jifeng Li et al.
[8]
RynnVLA-002: A Unified Vision-Language-Action and World Model
2025Jun Cen, Siteng Huang et al.
[9]
EvoVLA: Self-Evolving Vision-Language-Action Model
2025Zeting Liu, Zida Yang et al.
[10]
VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents
2025Kangrui Wang, Pingyue Zhang et al.
[11]
ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context
2025Huiwon Jang, Sihyun Yu et al.
[12]
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models
2025Angen Ye, Zeyu Zhang et al.
[13]
HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy
2025Myungkyu Koo, Daewon Choi et al.
[14]
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
2025Qi Lv, Weijie Kong et al.
[15]
Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation
2025Yiguo Fan, Pengxiang Ding et al.
[16]
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
2025Chi-Pin Huang, Yueh-Hua Wu et al.
[17]
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
2025Qiyue Gao, Xinyu Pi et al.
[18]
WorldVLA: Towards Autoregressive Action World Model
2025Jun Cen, Chaohui Yu et al.
[19]
EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models
2025Yantai Yang, Yuhao Wang et al.
[20]
LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks
2025Yi Yang, Jiaxuan Sun et al.

Showing 20 of 38 references

Founder's Pitch

"RB-VLA provides belief-centric architecture for better performance in long-horizon vision-language-action tasks with reduced inference latency."

Vision-Language ModelsScore: 7View PDF ↗

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0-10 scale

High Potential

2/4 signals

5

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4/4 signals

10

Series A Potential

2/4 signals

5

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