arXivDaily arXiv每日学术速递 周一至周五更新

高校专区

Huazhong University of Science and Technology(华中科技大学)

2026-08-31 至 2026-08-31 共收录 4
2608.28300 2026-08-31 cs.RO cs.AI 新提交

MaCoPlanner: LLM-Assisted Manual-Compiled Task Planning with Proactive Safety Verification for Robotic Industrial Panel Operation

MaCoPlanner:面向机器人工业面板操作的、结合主动安全验证的大语言模型辅助人工编译任务规划

Guipeng Xin, Jiahe Xua, Mohammad Deghat, Chenhui Wan, Jie Liu, Youmin Hu, Zhongxu Hu

机构 * Huazhong University of Science and Technology(华中科技大学) University of New South Wales(新南威尔士大学)

AI总结 MaCoPlanner是面向机器人工业面板操作的规划框架,通过编译设备手册知识生成规划,经主动安全验证后执行,大幅提升了任务成功率,在Level-2、Level-3任务上分别提升了21.6、17.3个百分点。

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2608.28096 2026-08-31 cs.CV 新提交

Ex-Sim(3)-Reg: 2D-3D Correspondence Pruning via Extended Sim(3) Registration

Ex-Sim(3)-Reg:基于扩展Sim(3)配准的2D-3D对应关系剪枝

Pei An, Muyao Peng, Junfeng Ding, Jiaqi Yang, Liangliang Nan

机构 * Huazhong University of Science and Technology(华中科技大学) Northwestern Polytechnical University(西北工业大学) Delft University of Technology(代尔夫特理工大学)

AI总结 针对现有2D-3D对应剪枝方案受深度先验噪声影响的问题,提出Ex-Sim(3)-Reg算法,在多数据集上实现配准召回率最高24.7%的提升。

Comments Accepted by ECCV 2026

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2608.27984 2026-08-31 cs.AI 新提交

When Evidence Shapes Collaboration: Knowledge-Conditioned Topology Generation for Multi-Agent Systems

当证据塑造协作:面向多智能体系统的知识条件拓扑生成

Yangxiao Jiang, Jiarun Fan, Mingcong Xu, Yanxi Guo, Jiwen Feng, Shanqing Xu, Mengchen Qian, Wei Chen, Xiaojin Zhang

机构 * Huazhong University of Science and Technology(华中科技大学)

AI总结 该研究针对多智能体系统拓扑生成的结构-知识错位问题,提出K-GAT框架,在GPQA数据集上较LLM-Debate基线准确率提升15.7%且计算开销更低。

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2608.26971 2026-08-31 cs.CV cs.MM 版本更新

TempJail: Temporal Jailbreak Attacks against Image-to-Video Generation Models

TempJail:针对图像到视频生成模型的时序越狱攻击

Qi Lu, Zehui Guo, David Yuanda Gan, Zijing Li, Hengda Zhang, Weijun Xu, Qiankun Zhang

机构 * School of Cyber Science and Engineering, Huazhong University of Science and Technology(华中科技大学网络空间科学与工程学院) School of Mathematical Sciences, Peking University(北京大学数学科学学院) School of Software and engineering, Huazhong University of Science and Technology(华中科技大学软件学院) School of Computer Science, Nanjing University(南京大学计算机学院)

AI总结 本文提出TempJail时序越狱框架,针对图像到视频生成模型的时序漏洞,通过分解恶意提示、受控潜在扰动等方式提升攻击成功率,在Kling等模型上获显著效果。

Comments Accepted by ACM Multimedia 2026 (ACM MM '26)

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