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20242026
most citedRAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

4 citations · 7 across the 18 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models

Yifu Yuan, Yaoting Huang, Xianze Yao +20

We introduce Embodied-R1.5, a unified Embodied Foundation Model (EFM) that integrates comprehensive embodied reasoning capabilities, spanning embodied cognition, task planning, cor…

cs.RO2026

Veo-Act: Enhancing VLA Policies with Frontier Video Models

Zhongru Zhang, Chenghan Yang, Qingzhou Lu +4

Video generation models can produce coherent vi- sual sequences depicting object motion and interactions. We in- vestigate how frontier video generation models can complement visio…

cs.RO2026

Realtime-VLA V2: Learning to Run VLAs Fast, Smooth, and Accurate

Chen Yang, Yucheng Hu, Yunchao Ma +3

In deployment of the VLA models to real-world robotic tasks, execution speed matters. In previous work arXiv:2510.26742 we analyze how to make neural computation of VLAs on GPU fas…

cs.RO2026

BagelVLA: Enhancing Long-Horizon Manipulation via Interleaved Vision-Language-Action Generation

Yucheng Hu, Jianke Zhang, Yuanfei Luo +9

Equipping embodied agents with the ability to reason about tasks, foresee physical outcomes, and generate precise actions is essential for general-purpose manipulation. While recen…

cs.RO2025

UniJEPA: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning

Jianke Zhang, Yucheng Hu, Yanjiang Guo +5

Building generalist robot policies that can handle diverse tasks in open-ended environments is a central challenge in robotics. To leverage knowledge from large-scale pretraining,…

cs.RO2025★ 1 cited

Improving Vision-Language-Action Model with Online Reinforcement Learning

Yanjiang Guo, Jianke Zhang, Xiaoyu Chen +4

Recent studies have successfully integrated large vision-language models (VLMs) into low-level robotic control by supervised fine-tuning (SFT) with expert robotic datasets, resulti…

cs.RO2024★ 1 cited

Prediction with Action: Visual Policy Learning via Joint Denoising Process

Yanjiang Guo, Yucheng Hu, Jianke Zhang +4

Diffusion models have demonstrated remarkable capabilities in image generation tasks, including image editing and video creation, representing a good understanding of the physical…