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姚宗伟
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( 教授 ) 赞
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的个人主页 https://teachers.jlu.edu.cn/ZongweiYao/zh_CN/index.htm

教授
主要任职 : 系副主任
其他任职 : 学院教学委员会委员

论文成果当前位置: 中文主页 >> 科学研究 >> 论文成果

[1] Bio-inspired Excavator Digging Trajectory Planning: Insights from Mole Digging Patterns. Journal of Bionic Engineering. 2025,22 (2025):1287-1303
[2] Accuracy evaluation of load distribution in engineering vehicles under extreme environments. Journal of Cleaner Production. 2025,518 (2025):1-13
[3] Cost-effective excavator pose reconstruction with physical constraints. Computer-Aided Civil and Infrastructure Engineering. 2025,2025 :1-23
[4] A Method for Evaluating the Accuracy of Load Distribution Estimation in Engineering Vehicles. IEEE Transactions on Industrial Informatics. 2025
[5] Reinforcement Learning-Based Trajectory Planning for Continuous Digging of Excavator Working Devices in Trenching Tasks. Computer-Aided Civil and Infrastructure Engineering. 2025
[6] Research on autonomous path planning and trackingcontrol methods for unmanned electric shovels. Computer-Aided Civil and Infrastructure Engineering. 2024
[7] 基于合成图像数据集的挖掘机关键点识别. 吉林大学学报(工学版). 2024
[8] Synchronized path planning and tracking for front and rear axles in articulated wheel loaders. AUTOMATION IN CONSTRUCTION. 2024,165
[9] Real-time task-oriented continuous digging trajectory planning for excavator arms. Automation in Construction. 2023,152 (2023):1-15
[10] Target Detection for Construction Machinery Based on Deep Learning and Multi-source Data Fusion. IEEE Sensors Journal. 2023
[11] A novel deep earth observation-oriented methods for enhancing magnetometry sensor stability. Measurement. 2022,2022 (204):1-12
[12] Accurate and effective framework for identifying track defects. Measurement. 2022,2022 (190):1-10
[13] Segmentation of Track Surface Defects Based on Machine Vision and Neural Networks. IEEE SENSORS JOURNAL. 2021,22 (2):1571-1582
[14] 基于数值仿真的大型塔式磨机工作特性分析. 吉林大学学报(工学版). 2021
[15] 基于机器视觉和卷积神经网络的轨道表面缺陷检测方法. 铁道学报. 2021,43 (4)

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