视觉大模型 / VLM

Teaching RL Agents to Act Better: VLM as Action Advisor for Online Reinforcement Learning

Xiefeng Wu, Jing Zhao, Shu Zhang, Mingyu Hu

机构 * Wuhan University（武汉大学） 纠错

专题命中 GUI与屏幕智能体 ：VLM(title)；vision-language model(abstract)；分类 cs.AI、cs.LG

Human-like Navigation in a World Built for Humans

Bhargav Chandaka, Gloria X. Wang, Haozhe Chen, Henry Che, Albert J. Zhai, Shenlong Wang

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

专题命中 GUI与屏幕智能体 ：vision-language model(abstract)；VLM(abstract)；分类 cs.CV、cs.AI

Comments CoRL 2025. Project website: https://reasonnav.github.io/

ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation

Dekun Lu, Wei Gao, Kui Jia

机构 * Dekun Lu ∗ , Wei Gao ∗ and Kui Jia ∗（作者） 纠错

专题命中 GUI与屏幕智能体 ：VLM(abstract)；分类 cs.AI、cs.LG

Comments First two authors contribute equally. Project page: https://sites.google.com/view/imaginationpolicy

Semantic Edge-Cloud Communication for Real-Time Urban Traffic Surveillance with ViT and LLMs over Mobile Networks

Murat Arda Onsu, Poonam Lohan, Burak Kantarci, Aisha Syed, Matthew Andrews, Sean Kennedy

专题命中 GUI与屏幕智能体 ：multimodal large language model(abstract)；分类 cs.AI

Comments 17 pages, 12 figures

AnywhereVLA: Language-Conditioned Exploration and Mobile Manipulation

Konstantin Gubernatorov, Artem Voronov, Roman Voronov, Sergei Pasynkov, Stepan Perminov, Ziang Guo, Dzmitry Tsetserukou

机构 * Intelligent Space Robotics Laboratory, Center for Digital Engineering, Skolkovo Institute of Science and Technology（智能空间机器人实验室，数字工程中心，斯克尔科夫科学与技术研究所） 纠错

专题命中 GUI与屏幕智能体 ：grounding(abstract)；分类 cs.AI

MoCLIP-Lite: Efficient Video Recognition by Fusing CLIP with Motion Vectors

Binhua Huang, Ni Wang, Arjun Pakrashi, Soumyabrata Dev

机构 * The ADAPT SFI Research Centre（ADAPT SFI研究机构） ； School of Computer Science, University College Dublin（大学学院计算机科学系） ； Amazon Development Center Germany GmbH（亚马逊德国开发中心） ； Beijing-Dublin International College（北京-都柏林国际学院） 纠错

专题命中 GUI与屏幕智能体 ：vision-language model(abstract)；分类 cs.CV

Comments 6 pages, 3 figures