arXivDaily arXiv每日学术速递 周一至周五更新

AI 大模型

AI Agent

智能体、工具调用、规划、工作流、多智能体和自主任务执行。

2025-12-05 至 2025-12-05 共收录 66 信号源:cs.AI, cs.CL, cs.LG, cs.SE

1. 工具调用 2 篇

2512.05111 2025-12-05 cs.CV 88%

ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning

ARM-Thinker: 通过智能工具使用和视觉推理强化多模态生成奖励模型

Shengyuan Ding, Xinyu Fang, Ziyu Liu, Yuhang Zang, Yuhang Cao, Xiangyu Zhao, Haodong Duan, Xiaoyi Dong, Jianze Liang, Bin Wang, Conghui He, Dahua Lin, Jiaqi Wang

机构 * Fudan University(复旦大学) Shanghai Artificial Intelligence Laboratory(上海人工智能实验室) Zhejiang University(浙江大学) Shanghai Jiao Tong University(上海交通大学) The Chinese University of Hong Kong(香港中文大学) Shanghai Innovation Institute(上海创新研究院)

专题命中 工具调用 :agentic(title,abstract);tool use(title);tool-use(abstract)

AI总结 ARM-Thinker通过智能工具使用和视觉推理提升多模态奖励模型的准确性与可解释性。

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2509.01721 2025-12-05 cs.LG 57%

Convolutional Monge Mapping between EEG Datasets to Support Independent Component Labeling

卷积蒙日映射在EEG数据集之间进行转换以支持独立成分标注

Austin Meek, Carlos H. Mendoza-Cardenas, Austin J. Brockmeier

机构 * Department of Computer and Information Sciences University of Delaware(计算机与信息科学系德克萨斯大学) Twitch Interactive Inc.(Twitch互动公司) Department of Electrical and Computer Engineering Department of Computer and Information Sciences University of Delaware(电气与计算机工程系计算机与信息科学系德克萨斯大学)

专题命中 工具调用 :tool use(abstract);分类 cs.LG

AI总结 本文提出了一种改进的卷积蒙日映射方法,通过两种新方法实现EEG数据集之间的映射,以提高独立成分分类的准确性。

Comments Code available at: https://github.com/cniel-ud/ICWaves; Accepted to NeurIPS 2025 Workshop on Learning from Time Series for Health

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2. 规划决策 28 篇

2411.13983 2025-12-05 cs.MA cs.RO cs.SY eess.SY 89%

Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control

从广义纳什均衡学习双智能体运动规划策略用于模型预测控制

Hansung Kim, Edward L. Zhu, Chang Seok Lim, Francesco Borrelli

机构 * University of California Berkeley(加州大学伯克利分校) PlusAI Inc(PlusAI公司)

专题命中 规划决策 :agent(title,abstract);planning(title,abstract);multi-agent(abstract)

AI总结 本文提出了一种基于广义纳什均衡的学习方法,用于多智能体运动规划中的模型预测控制,通过训练神经网络预测奖励结果来实现博弈论互动的隐式处理。

Comments Accepted Proceeding at 2025 Learning for Dynamics and Control Conference (L4DC)

Journal ref 283:112-123, 2025

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2512.04405 2025-12-05 eess.SP cs.AI 87%

Towards 6G Native-AI Edge Networks: A Semantic-Aware and Agentic Intelligence Paradigm

迈向6G原生AI边缘网络:一种语义感知和代理智能范式

Chenyuan Feng, Anbang Zhang, Geyong Min, Yongming Huang, Tony Q. S. Quek, Xiaohu You

机构 * College of Computer Science, University of Exeter, Exeter, U.K.(埃克塞特大学计算机科学学院) Sony China Research Laboratory, Beijing, China(索尼中国研究实验室) School of Information Science and Engineering, Southeast University, Nanjing, China(东南大学信息科学与工程学院) Purple Mountain Laboratories, Nanjing, China(紫金山实验室) Information System Technology and Design Pillar, Singapore University of Technology and Design, Singapore(新加坡科技设计大学信息系统技术与设计支柱)

专题命中 规划决策 :agentic(title,abstract);agent(abstract);planning(abstract);multi-agent(abstract)

AI总结 本文提出语义感知和代理智能范式,旨在通过统一分类法和促进技术推动6G原生AI边缘网络的发展。

Comments submitted to Digital Communications and Networks

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2512.04987 2025-12-05 cs.CL 85%

Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction

Nex-N1: 通过统一生态系统训练的代理模型用于大规模环境构建

AGI Team, Yuxuan Cai, Lu Chen, Qiaoling Chen, Yuyang Ding, Liwen Fan, Wenjie Fu, Yufei Gao, Honglin Guo, Pinxue Guo, Zhenhua Han, Zhengfu He, Hanglei Hu, Kai Hu, Shengjia Hua, Tianyu Huai, Baodai Huang, Li Ji, Zhen Jiang, Zhikai Lei, Bufan Li, Jiahang Lin, Lizhi Lin, Jinxiu Liu, Shichun Liu, Ziming Liu, Yuchen Ni, Pengfang Qian, Yujiong Shen, Qingyun Shi, Wentao Shu, Peng Sun, Yiran Suo, Tian Tang, Boyu Tian, Guoteng Wang, Junzhe Wang, Peixin Wang, Zhiheng Xi, Hang Yan, Jie Yang, Zhixiong Yang, Tianchu Yao, Guangze Ye, Qianxi Yu, Shuo Zhang, Xinyue Zhang, Yiqi Zhang, Jiarong Zhao, Miao Zheng, Rui Zheng, Enyu Zhou, Jiazheng Zhou, Maosen Zhou, Yuhao Zhou, Tao Gui, Yining Zheng, Xinchi Chen, Jie Zhou, Siyuan Feng, Qin Chen, Liang He, Qi Zhang, Xuanjing Huang, Xipeng Qiu

机构 * AGI Team(AGI团队)

专题命中 规划决策 :agentic(title,abstract);agent(abstract);autonomous agent(abstract);分类 cs.CL

AI总结 Nex-N1通过统一生态系统训练的代理模型,实现了大规模环境构建,展示了在复杂代理任务中的优越性能。

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2512.03887 2025-12-05 cs.AI 85%

A Hierarchical Tree-based approach for creating Configurable and Static Deep Research Agent (Static-DRA)

一种基于层次树的创建可配置和静态深度研究代理(静态-DRA)的方法

Saurav Prateek

机构 * Saurav Prateek(独立研究者)

专题命中 规划决策 :agent(title,abstract);workflow(abstract);agentic(abstract);分类 cs.AI

AI总结 本文提出静态-DRA,通过深度和广度参数实现可配置的深度研究代理,提升多轮复杂研究任务的处理能力。

Comments 16 pages, 6 figures, 4 tables. Code available at: https://github.com/SauravP97/Static-Deep-Research

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2511.22037 2025-12-05 cs.CY 85%

What AI Speaks for Your Community: Polling AI Agents for Public Opinion on Data Center Projects

人工智能为你的社区发声:通过AI代理收集数据中心项目公众意见

Zhifeng Wu, Yuelin Han, Shaolei Ren

专题命中 规划决策 :AI agent(title,abstract);agent(abstract);planning(abstract)

AI总结 本文提出AI代理调查框架,利用大型语言模型评估社区对数据中心项目的意见,以指导负责任的AI发展。

Comments 35 Pages. Accepted to NeurIPS 2025 Workshop on Socially Responsible and Trustworthy Foundation Models (ResponsibleFM)

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2512.04822 2025-12-05 cs.AI 83%

Enabling Ethical AI: A case study in using Ontological Context for Justified Agentic AI Decisions

实现道德AI:利用本体上下文进行合理化智能体决策的案例研究

Liam McGee, James Harvey, Lucy Cull, Andreas Vermeulen, Bart-Floris Visscher, Malvika Sharan

专题命中 规划决策 :agentic(title,abstract);AI agent(abstract);分类 cs.AI

AI总结 本文提出一种协作人机AI方法,通过本体上下文构建可检查语义层,提升智能体决策的合理性和透明度。

Comments 24 pages including references, with 6 images and 2 tables. Appendices, supporting data and additional reference provided from page 25 to 117

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2512.04276 2025-12-05 cs.AI cs.LG math.ST stat.TH 82%

The Geometry of Benchmarks: A New Path Toward AGI

基准的几何学:通向通用人工智能的新路径

Przemyslaw Chojecki

机构 * Przemyslaw Chojecki(独立研究者)

专题命中 规划决策 :agent(abstract);AI agent(abstract);tool use(abstract);planning(abstract)

AI总结 本文提出了一种基于几何框架的基准评估方法,通过自主AI尺度和GVU操作符,为通用人工智能的发展提供了新的理论视角。

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2512.04797 2025-12-05 cs.AI cs.RO 79%

SIMA 2: A Generalist Embodied Agent for Virtual Worlds

SIMA 2: 一种通用的具身代理用于虚拟世界

SIMA team, Adrian Bolton, Alexander Lerchner, Alexandra Cordell, Alexandre Moufarek, Andrew Bolt, Andrew Lampinen, Anna Mitenkova, Arne Olav Hallingstad, Bojan Vujatovic, Bonnie Li, Cong Lu, Daan Wierstra, Daniel P. Sawyer, Daniel Slater, David Reichert, Davide Vercelli, Demis Hassabis, Drew A. Hudson, Duncan Williams, Ed Hirst, Fabio Pardo, Felix Hill, Frederic Besse, Hannah Openshaw, Harris Chan, Hubert Soyer, Jane X. Wang, Jeff Clune, John Agapiou, John Reid, Joseph Marino, Junkyung Kim, Karol Gregor, Kaustubh Sridhar, Kay McKinney, Laura Kampis, Lei M. Zhang, Loic Matthey, Luyu Wang, Maria Abi Raad, Maria Loks-Thompson, Martin Engelcke, Matija Kecman, Matthew Jackson, Maxime Gazeau, Ollie Purkiss, Oscar Knagg, Peter Stys, Piermaria Mendolicchio, Raia Hadsell, Rosemary Ke, Ryan Faulkner, Sarah Chakera, Satinder Singh Baveja, Shane Legg, Sheleem Kashem, Tayfun Terzi, Thomas Keck, Tim Harley, Tim Scholtes, Tyson Roberts, Volodymyr Mnih, Yulan Liu, Zhengdong Wang, Zoubin Ghahramani

机构 * Google DeepMind(谷歌DeepMind)

专题命中 规划决策 :agent(title,abstract);分类 cs.AI

AI总结 SIMA 2是一种基于Gemini模型的通用具身代理,能够理解和行动于多种3D虚拟世界,具备自我改进能力,显著提升了与人类表现的接近程度。

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2512.04917 2025-12-05 cs.RO cs.SY eess.SY 78%

On Disturbance-Aware Minimum-Time Trajectory Planning: Evidence from Tests on a Dynamic Driving Simulator

关于扰动感知的最短时间轨迹规划:动态驾驶模拟器上的实验证据

Matteo Masoni, Vincenzo Palermo, Marco Gabiccini, Martino Gulisano, Giorgio Previati, Massimiliano Gobbi, Francesco Comolli, Gianpiero Mastinu, Massimo Guiggiani

机构 * Università di Pisa(帕尔马大学) Politecnico di Milano(米兰理工大学)

专题命中 规划决策 :planning(title,abstract)

AI总结 本文提出扰动感知的最短时间轨迹规划方法,通过动态模拟器实验验证,表明FLC在降低转向努力的同时保持较短的lap时间,提升了驾驶性能和稳定性。

Comments 18 pages, 11 figures, 5 tables

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2511.23002 2025-12-05 cs.CV 78%

JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization

JarvisEvo: 向自进化式照片编辑代理迈进:协同编辑器-评估器优化

Yunlong Lin, Linqing Wang, Kunjie Lin, Zixu Lin, Kaixiong Gong, Wenbo Li, Bin Lin, Zhenxi Li, Shiyi Zhang, Yuyang Peng, Wenxun Dai, Xinghao Ding, Chunyu Wang, Qinglin Lu

机构 * Tencent Hunyuan(腾讯文元)

专题命中 规划决策 :agent(title,abstract)

AI总结 JarvisEvo通过协同编辑器-评估器优化,实现自进化式照片编辑代理,提升编辑质量和内容保真度。

Comments 31 pages, 18 figures

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2512.04451 2025-12-05 cs.CV 67%

StreamEQA: Towards Streaming Video Understanding for Embodied Scenarios

StreamEQA:迈向具身场景的流式视频理解

Yifei Wang, Zhenkai Li, Tianwen Qian, Huanran Zheng, Zheng Wang, Yuqian Fu, Xiaoling Wang

机构 * School of Computer Science and Technology, East China Normal University(计算机科学与技术学院,华东师范大学) Zhejiang University of Technology(浙江工业大学)

专题命中 规划决策 :agent(abstract);planning(abstract)

AI总结 StreamEQA是一个针对具身场景中流式视频问答的基准测试,通过评估模型在感知、交互和规划方面的能力,推动流式视频理解在具身应用中的研究。

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2512.04368 2025-12-05 cs.CR cs.AI cs.LG cs.PF 62%

AutoGuard: A Self-Healing Proactive Security Layer for DevSecOps Pipelines Using Reinforcement Learning

AutoGuard:基于强化学习的自修复主动安全层用于DevSecOps流水线

Praveen Anugula, Avdhesh Kumar Bhardwaj, Navin Chhibber, Rohit Tewari, Sunil Khemka, Piyush Ranjan

专题命中 规划决策 :agent(abstract);分类 cs.AI、cs.LG

AI总结 AutoGuard通过强化学习实现自修复安全层,提升DevSecOps流水线的威胁检测准确率、减少恢复时间并增强整体韧性。

Comments Accepted and Presented at 1st IEEE Uttar Pradesh Section Women in Engineering International Conference on Electrical Electronics and Computer Engineering (UPWIECON 2025) organized by NIELIT Dehradun held during 30th 31st October 2025

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2512.04324 2025-12-05 cs.CL cs.AI 62%

DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle

DAComp: 在全数据智能生命周期中跨领域评估数据代理

Fangyu Lei, Jinxiang Meng, Yiming Huang, Junjie Zhao, Yitong Zhang, Jianwen Luo, Xin Zou, Ruiyi Yang, Wenbo Shi, Yan Gao, Shizhu He, Zuo Wang, Qian Liu, Yang Wang, Ke Wang, Jun Zhao, Kang Liu

机构 * Institute of Automation, CAS(中国科学院自动化研究所) University of Chinese Academy of Sciences(中国科学院大学)

专题命中 规划决策 :planning(abstract);分类 cs.AI、cs.CL

AI总结 DAComp通过210个任务评估数据代理在数据工程与分析中的能力,揭示现有代理在复杂流程编排和开放性推理中的不足。

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2512.04307 2025-12-05 cs.LG cs.AI 62%

Evaluating Long-Context Reasoning in LLM-Based WebAgents

评估基于大语言模型的WebAgent的长上下文推理能力

Andy Chung, Yichi Zhang, Kaixiang Lin, Aditya Rawal, Qiaozi Gao, Joyce Chai

机构 * University of Michigan(密歇根大学) Amazon(亚马逊)

专题命中 规划决策 :agent(abstract);分类 cs.AI、cs.LG

AI总结 本文评估了基于大语言模型的WebAgent在长上下文场景中的推理能力,发现随着上下文长度增加,性能显著下降,提出隐式RAG方法以改进任务执行。

Comments Accepted NeurIPS 25 LAW Workshop

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2507.01034 2025-12-05 cs.LG cs.AI 62%

Data-driven Insights for Informed Decision-Making: Applying LSTM Networks for Robust Electricity Forecasting in Libya

数据驱动的洞察以支持知情决策:应用LSTM网络进行利比亚鲁班市电网稳定和能源规划的鲁棒电力预测

Asma Agaal, Mansour Essgaer, Hend M. Farkash, Zulaiha Ali Othman

专题命中 规划决策 :planning(abstract);分类 cs.AI、cs.LG

AI总结 本研究利用LSTM网络预测利比亚鲁班市2025年的电力负荷、发电和短缺,通过整合温度和湿度等外生因素,提高预测鲁棒性,为电网稳定和能源规划提供数据驱动的决策支持。

Comments This article was published in International Journal of Intelligent Systems and Applications (IJISA) (MECS Press), Vol. 17, No. 3, 8 Jun. 2025, DOI: https://doi.org/10.5815/ijisa.2025.03.05

Journal ref International Journal of Intelligent Systems and Applications (IJISA) (MECS Press), Vol. 17, No. 3, 8 Jun. 2025

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2506.13222 2025-12-05 cs.AI cs.LG 62%

NeuroPhysNet: A FitzHugh-Nagumo-Based Physics-Informed Neural Network Framework for Electroencephalograph (EEG) Analysis and Motor Imagery Classification

NeuroPhysNet:一种基于 FitzHugh-Nagumo 模型的物理信息神经网络框架,用于脑电图(EEG)分析和运动想象分类

Zhenyu Xia, Xinlei Huang, Yuantong Gu, Suvash C. Saha

机构 * University of Technology Sydney(新南威尔士大学悉尼分校) Queensland University of Technology(昆士兰理工大学)

专题命中 规划决策 :planning(abstract);分类 cs.AI、cs.LG

AI总结 NeuroPhysNet通过整合FitzHugh-Nagumo模型,提升EEG分析和运动想象分类的准确性与鲁棒性,适用于医疗场景中的脑机接口应用和临床诊断。

Comments Here is a revised version of the manuscript, incorporating Prof. Yuantong Gu's contributions to restructuring and revising the manuscript

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2512.04374 2025-12-05 cs.CL cs.FL 57%

LangSAT: A Novel Framework Combining NLP and Reinforcement Learning for SAT Solving

LangSAT:一种结合自然语言处理和强化学习的SAT求解新框架

Muyu Pan, Matthew Walter, Dheeraj Kodakandla, Mahfuza Farooque

机构 * Pennsylvania State University(宾夕法尼亚州立大学)

专题命中 规划决策 :agent(abstract);分类 cs.CL

AI总结 LangSAT结合自然语言处理和强化学习,通过将英语描述转换为CNF并优化求解过程,提升SAT求解的效率和普及性。

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2512.02200 2025-12-05 cs.LG econ.GN q-fin.EC 57%

Modelling the Doughnut of social and planetary boundaries with frugal machine learning

用节俭机器学习建模社会与行星边界之环

Stefano Vrizzi, Daniel W. O'Neill

机构 * UB School of Economics(UB经济学院) Universitat de Barcelona(巴塞罗那大学)

专题命中 规划决策 :agent(abstract);分类 cs.LG

AI总结 本文提出用节俭机器学习方法建模社会与行星边界之环,通过寻找一致的政策参数和最优轨迹,实现环境与社会的可持续发展。

Comments Presented at the Rethinking AI Workshop @ EurIPS'25

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2507.09080 2025-12-05 cs.AI 57%

BioAnalyst: A Foundation Model for Biodiversity

BioAnalyst: 一种用于生物多样性的基础模型

Athanasios Trantas, Martino Mensio, Stylianos Stasinos, Sebastian Gribincea, Taimur Khan, Damian Podareanu, Aliene van der Veen

机构 * Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek – TNO(荷兰应用自然科学研究院 – TNO) Eindhoven University of Technology(埃因霍温理工大学) Amazon(亚马逊) University of Groningen(格罗宁根大学) Helmholtz Center for Environmental Research – UFZ(环境研究赫尔姆霍茨中心 – UFZ) SURF

专题命中 规划决策 :planning(abstract);分类 cs.AI

AI总结 BioAnalyst是一种针对生物多样性分析和保护规划的多模态基础模型,通过预训练和微调实现物种分布建模和生态预测。

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2512.04500 2025-12-05 cs.AI cs.HC cs.MA 57%

A Modular Cognitive Architecture for Assisted Reasoning: The Nemosine Framework

辅助推理的模块化认知架构:Nemosine框架

Edervaldo Melo

机构 * Edervaldo José de Souza Melo

专题命中 规划决策 :planning(abstract);分类 cs.AI

AI总结 Nemosine框架通过模块化认知架构实现辅助推理和系统分析,结合元认知与分布式认知原理,提供结构化问题解决的计算基础。

Comments 6 pages, 1 figure. First version

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2512.04453 2025-12-05 cs.RO cs.AI 57%

Open-Ended Goal Inference through Actions and Language for Human-Robot Collaboration

通过动作和语言进行开放性目标推断以实现人机协作

Debasmita Ghose, Oz Gitelson, Marynel Vazquez, Brian Scassellati

机构 * Yale University(耶鲁大学)

专题命中 规划决策 :planning(abstract);分类 cs.AI

AI总结 BALI通过整合语言和动作线索,实现开放性目标推断,提升人机协作的稳定性和准确性。

Comments Accepted to ACM/IEEE International Conference on Human-Robot Interaction, 2026 (HRI 2026), 10 pages, 4 figures

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2512.04303 2025-12-05 cs.CV cs.AI 57%

Gamma-from-Mono: Road-Relative, Metric, Self-Supervised Monocular Geometry for Vehicular Applications

Gamma-from-Mono:用于车辆应用的道路相对、度量、自监督单目几何

Gasser Elazab, Maximilian Jansen, Michael Unterreiner, Olaf Hellwich

机构 * CARIAD SE(CARIAD公司) Technische Universität Berlin(柏林技术大学)

专题命中 规划决策 :planning(abstract);分类 cs.AI

AI总结 Gamma-from-Mono通过自监督学习实现道路几何的精确估计,无需大规模标注数据,适用于车辆应用。

Comments Accepted in 3DV 2026

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2512.04204 2025-12-05 astro-ph.IM astro-ph.HE cs.AI 57%

Machine Phenomenology: A Simple Equation Classifying Fast Radio Bursts

机器现象学:一个简单方程分类快速射电暴

Yang Liu, Yuhao Lu, Rahim Moradi, Bo Yang, Bing Zhang, Wenbin Lin, Yu Wang

机构 * School of Computer Science, University of South China(南华大学计算机科学学院) Department of Physics E. Pancini, University Federico II(费米研究所物理系) Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences(中国科学院高能物理研究所粒子天体物理重点实验室) School of Mathematics and Physics, University of South China(南华大学数学物理学院) The Hong kong Institute for Astronomy and Astrophysics, University of Hong Kong(香港大学天文与天体物理研究所) Department of Physics, University of Hong Kong(香港大学物理系) Nevada Center for Astrophysics, University of Nevada(内华达大学天文中心) School of Physical Science and Technology, Southwest Jiaotong University(西南交通大学物理科学与技术学院)

专题命中 规划决策 :workflow(abstract);分类 cs.AI

AI总结 本文提出一个简单方程通过符号回归分类快速射电暴,结合人类物理推理与机器学习发现经验定律。

Comments 19 pages, 9 figures, 3 tables. Submitted to SCIENCE CHINA Physics, Mechanics & Astronomy

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2512.04092 2025-12-05 physics.soc-ph cs.AI cs.CV cs.CY 57%

The changing surface of the world's roads

世界道路表面的变迁

Sukanya Randhawa, Guntaj Randhawa, Clemens Langer, Francis Andorful, Benjamin Herfort, Daniel Kwakye, Omer Olchik, Sven Lautenbach, Alexander Zipf

机构 * Heidelberg Institute of Geoinformation Technology (HeiGIT)(海德堡地理信息科技研究所) GIScience Chair, Institute of Geography, Heidelberg University(地理学院GIS科学 Chair, 海德堡大学) Centre for the Environment, Heidelberg University(环境中心, 海德堡大学)

专题命中 规划决策 :planning(abstract);分类 cs.AI

AI总结 本文通过深度学习分析卫星影像,构建全球道路铺装度和宽度数据集,揭示人类发展多尺度地理特征,为基础设施监测和人道主义物流提供新方法。

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2512.04404 2025-12-05 cs.RO 50%

Bridging Probabilistic Inference and Behavior Trees: An Interactive Framework for Adaptive Multi-Robot Cooperation

弥合概率推断与行为树:一种交互框架用于自适应多机器人协作

Chaoran Wang, Jingyuan Sun, Yanhui Zhang, Changju Wu

机构 * School of Aeronautic and Astronautics, Zhejiang University(航空航天学院,浙江大学) Shanghai Huawei Technologies Co., Ltd(上海华为技术有限公司)

专题命中 规划决策 :planning(abstract)

AI总结 本文提出IIBT框架,结合概率推断与行为树,实现多机器人自适应协作,实验表明其能显著降低复杂度并保持鲁棒性。

Comments 34 pages, is submitted RAS Journal

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2507.13529 2025-12-05 physics.ao-ph 50%

Impact of Forecast Stability on Navigational Contrail Avoidance

飞行路径规避航迹对导航的影响

Thomas R Dean, Tristan H Abbott, Zeb Engberg, Nicholas Masson, Roger Teoh, Jonathan P Itcovitz, Marc E J Stettler, Marc L Shapiro

专题命中 规划决策 :planning(abstract)

AI总结 本研究通过比较ECMWF HRES和ERA5数据,发现飞行路径优化可减少80-90%的航迹气候影响,同时燃油成本低。

Comments 29 pages, 11 figures, 1 table. This work has been accepted to Environmental Research: Infrastructure and Sustainability. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it

Journal ref Environ. Res.: Infrastruct. Sustain. 5 (2025) 045008

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2512.04446 2025-12-05 cs.RO cs.SY eess.SY 50%

Vision-Language-Action Models for Selective Robotic Disassembly: A Case Study on Critical Component Extraction from Desktops

面向选择性机器人拆解的视觉-语言-动作模型:以从台式机中提取关键部件的案例研究

Chang Liu, Sibo Tian, Sara Behdad, Xiao Liang, Minghui Zheng

机构 * J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University(J. Mike Walker ’66 机械工程系,德克萨斯A&M大学) Engineering School of Sustainable Infrastructure & Environment, University of Florida(可持续基础设施与环境工程学院,佛罗里达大学) Zachry Department of Civil and Environmental Engineering, Texas A&M University(土木与环境工程系,德克萨斯A&M大学)

专题命中 规划决策 :planning(abstract)

AI总结 本文研究了视觉-语言-动作模型在机器人选择性拆解中的应用,通过定制数据集微调两种VLA方法,发现其在复杂拆解任务中存在局限,但结合规则控制器的混合策略能有效完成拆解任务。

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2512.04439 2025-12-05 eess.SY cs.SY 50%

Quantum-Accelerated Deep Reinforcement Learning for Frequency Regulation Enhancement

量子加速的深度强化学习用于频率调节增强

Amin Masoumi, Mert Korkali

专题命中 规划决策 :agent(abstract)

AI总结 本文提出一种结合量子电路和ansatz的深度强化学习方法,用于提升电力系统频率调节的可靠性和鲁棒性。

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