Intelligence & Robotics 第四卷第四期文章正式上线!

文摘   2025-01-09 18:01   陕西  

Intelligence & RoboticsIR)第四卷第四期文章于近日正式上线!本期共收录十篇原创研究论文和一篇综述,涵盖了医学、轨道工程、机器人技术、多智能体系统和能源互联网等领域。这些研究展示了技术的跨领域融合与应用创新,从理论模型到工程实现,均有重要的理论价值与实践意义。这些研究不仅推动了学术领域的发展,也为工业应用提供了新的技术方案与发展方向。所有文章均为开放获取,欢迎各位专家学者免费阅读、下载、转发和分享!


文章列表

  • Time-optimal trajectory planning for a six-degree-of-freedom manipulator: a method integrating RRT and chaotic PSO

  • A survey of datasets in medicine for large language models

  • SANet: scale-adaptive network for lightweight salient object detection

  • Infrared and visible image fusion based on multi-level detail enhancement and generative adversarial network

  • Intelligent prediction of rail corrugation evolution trend based on self-attention bidirectional TCN and GRU

  • Neurodynamics-based formation tracking control of leader-follower nonholonomic multiagent systems

  • Improved DDPG algorithm-based path planning for unmanned surface vehicles

  • Path planning method for USVs based on improved DWA and COLREGs

  • VNN-DM: a vector neural network-based detection model for time synchronization attacks in park-level energy internet

  • An automotive tire visual laser marking robot system based on multi-information fusion

  • Dynamic event-triggered integral non-singular terminal sliding mode tracking of unmanned surface vehicle via an event-triggered extended state observer and adaptive neural network


文章导读


1.Time-optimal trajectory planning for a six-degree-of-freedom manipulator: a method integrating RRT and chaotic PSO

  • 作者:Zuoxun Wang*, Chuanzhe Pang, Jinxue Sui, Guojian Zhao, Wangyao Wu, Liteng Xu(北京工业大学)

图:混沌映射比较(摘自原文

  • 引用本文:Wang, Z.; Pang, C.; Sui, J.; Zhao, G.; Wu, W.; Xu, L. Time-optimal trajectory planning for a six-degree-of-freedom manipulator: a method integrating RRT and chaotic PSO. Intell. Robot. 20244, 479-502.
    http://dx.doi.org/10.20517/ir.2024.28

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2. A survey of datasets in medicine for large language models

  • 作者:Deshiwei Zhang, Xiaojuan Xue, Peng Gao, Zhijuan Jin, Menghan Hu*, Yue Wu, Xiayang Ying*(华东师范大学)

图:医学Q&A LLMs 构建过程(摘自原文)

引用本文:Zhang, D.; Xue, X.; Gao, P.; Jin, Z.; Hu, M.; Wu, Y.; Ying, X. A survey of datasets in medicine for large language models. Intell. Robot. 20244, 457-78.

http://dx.doi.org/10.20517/ir.2024.27

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3. SANet: scale-adaptive network for lightweight salient object detection

  • 作者:Zhuang Liu, Weidong Zhao*, Ning Jia, Xianhui Liu, Jiaxiong Yang(同济大学)

图片摘要(摘自原文)

  • 引用本文:Liu, Z.; Zhao, W.; Jia, N.; Liu, X.; Yang, J. SANet: scale-adaptive network for lightweight salient object detection. Intell. Robot. 20244, 503-23. 

    http://dx.doi.org/10.20517/ir.2024.29

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4. Infrared and visible image fusion based on multi-level detail enhancement and generative adversarial network

  • 作者: Xiangrui Tian*, Xiaohan Xianyu, Zhimin Li, Tong Xu, Yinjun Jia(南京航空航天大学)

图片摘要(摘自原文)

  • 引用本文:Tian, X.; Xianyu, X.; Li, Z.; Xu, T.; Jia, Y. Infrared and visible image fusion based on multi-level detail enhancement and generative adversarial network. Intell. Robot. 20244, 524-43. 

    http://dx.doi.org/10.20517/ir.2024.30

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5. Intelligent prediction of rail corrugation evolution trend based on self-attention bidirectional TCN and GRU

  • 作者:Jian-Hua Liu, Wei-Hao Yang, Jing He, Zhong-Mei Wang*, Lin Jia, Chang-Fan Zhang, Wei-Wei Yang(湖南工业大学)

图:钢轨波磨趋势预测框架(摘自原文)

  • 引用本文:Liu, J. H.; Yang, W. H.; He, J.; Wang, Z. M.; Jia, L.; Zhang, C. F.; Yang, W. W. Intelligent prediction of rail corrugation evolution trend based on self-attention bidirectional TCN and GRU. Intell. Robot. 20244, 318-38.

    http://dx.doi.org/10.20517/ir.2024.20

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6. Neurodynamics-based formation tracking control of leader-follower nonholonomic multiagent systems

  • 作者:Xiao-Wen Zhao*, Meng-Ke Li, Qiang Lai, Zhi-Wei Liu(合肥工业大学)

图:一个领导者代理和三个跟随者代理的角速度演变(摘自原文)

  • 引用本文:Zhao, X. W.; Li, M. K.; Lai, Q.; Liu, Z. W. Neurodynamics-based formation tracking control of leader-follower nonholonomic multiagent systems. Intell. Robot. 20244, 339-62.

    http://dx.doi.org/10.20517/ir.2024.21

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7. Improved DDPG algorithm-based path planning for unmanned surface vehicles

  • 作者:Menglong Hua, Weixiang Zhou*, Hongying Cheng, Zihao Chen(上海海事大学)

图:DDPG算法基本结构(摘自原文)

  • 引用本文:Hua, M.; Zhou, W.; Cheng, H.; Chen, Z. Improved DDPG algorithm-based path planning for unmanned surface vehicles. Intell. Robot. 20244, 363-84. 

    http://dx.doi.org/10.20517/ir.2024.22

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8. Path planning method for USVs based on improved DWA and COLREGs

  • 作者:Shiqi Liu, Xingmin Wang, Yang Wu, Qian Li*, Jiuxiang Yan, Eugene Levin(齐鲁工业大学)

图:USV 局部路径规划二维运动图(摘自原文)

  • 引用本文:Liu, S.; Wang, X.; Wu, Y.; Li, Q.; Yan, J.; Levin, E. Path planning method for USVs based on improved DWA and COLREGs. Intell. Robot. 20244, 385-405.
    http://dx.doi.org/10.20517/ir.2024.23

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9. VNN-DM: a vector neural network-based detection model for time synchronization attacks in park-level energy internet

  • 作者:Jiacheng Yang, Fanrong Shi*, Yunlong Li, Zhihang Zhao, Qiushi Cui(西南科技大学)

图:智能电网中 PMU 测量(摘自原文)

  • 引用本文:Yang, J.; Shi, F.; Li, Y.; Zhao, Z.; Cui, Q. VNN-DM: a vector neural network-based detection model for time synchronization attacks in park-level energy internet. Intell. Robot. 20244, 406-21. 

    http://dx.doi.org/10.20517/ir.2024.24

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10. An automotive tire visual laser marking robot system based on multi-information fusion

  • 作者:Chuanxiang Ren, Yunrui Xu, Xiang Liu*, Haibo Liu(同济大学)

图:机器人视觉建模流程(摘自原文)

  • 引用本文:Ren, C.; Xu, Y.; Liu, X.; Liu, H. An automotive tire visual laser marking robot system based on multi-information fusion. Intell. Robot. 20244, 422-38.

    http://dx.doi.org/10.20517/ir.2024.25

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11. Dynamic event-triggered integral non-singular terminal sliding mode tracking of unmanned surface vehicle via an event-triggered extended state observer and adaptive neural network

  • 作者:Xingmin Wang, Ruixue Liu, Aleksander Sladkowski, Qian Li, Ru Jiang*(齐鲁工业大学)

图:USV 轨迹跟踪基本示意(摘自原文)

  • 引用本文:Wang, X.; Liu, R.; Sladkowski, A.; Li, Q.; Jiang, R. Dynamic event-triggered integral non-singular terminal sliding mode tracking of unmanned surface vehicle via an event-triggered extended state observer and adaptive neural network. Intell. Robot. 20244, 439-56.

    http://dx.doi.org/10.20517/ir.2024.26

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IR编辑部在此衷心感谢所有作者对期刊的支持和贡献,感谢审稿人的辛勤付出,感谢广大读者对期刊的大力支持!


关于期刊


Intelligence & RoboticsIR, Online ISSN 2770-3541)是OAE Publishing Inc.于2021年6月创办的一本金色开放获取、严格同行评议的国际学术期刊,被ESCI、Scopus、Dimensions、Lens收录。由加拿大圭尔夫大学终身教授Simon. X. Yang担任主编,美国Takeo Kanade 院士、中国柴天佑院士、郭爱克院士和李德毅院士、日本Toshio Fukuda 院士、加拿大Clarence W. de Silva院士担任顾问编委。


刊文范围包括但不限于:

  • 生物智能、生物启发智能和人工智能;
  • 具身智能;
  • 神经网络、模糊系统和进化算法;
  • 移动、空中和水下机器人系统的传感、多传感器融合、定位、数据分析、建模、规划和控制;
  • 机器人协作、远程操作和人机交互;
  • 机器人和智能的计算机视觉;
  • 人形机器人系统和智能机器人系统;
  • 机器人和智能的自然语言处理;
  • 机器人和智能的数字孪生和虚拟现实;
  • 机器人系统的具身认知、导航和操控。

截至目前,IR 发布高质量文章90余篇,谷歌学术引用超600次,我们诚挚欢迎该领域的专家学者关注期刊并踊跃投稿,我们将为您提供科学、规范、高效的文章发表服务!


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