科研团队
实验室成员
当前位置: 首页>>科研团队>>实验室成员>>正文

    杨磊

    2019-09-20   点击:[]


    个人信息

    杨磊  博士 师资博士后

    郑州大学电气工程学院自动化系

    通信地址:河南省郑州市科学大道100号电气工程学院

    邮政编码:450001

    联系方式:E-mailleiyang2019@zzu.edu.cn


    教育背景

    20149月至20197月,中国科学院大学自动化研究所,博士

    20109月至20147月,天津工业大学,学士


    工作履历

    20197月至今 郑州大学电气工程学院


    研究领域

    1. 工业机器人视觉测量和控制

    2. 机器人集成应用与智能制造

    3. 智能信息处理


    学术成果

    1. Yang, L., Li, E., Long, T., Fan, J., & Liang, Z. (2018). A Novel 3-D Path Extraction Method for Arc Welding Robot Based on Stereo Structured Light Sensor. IEEE Sensors Journal, 19(2), 763-773.

    2. Yang, L., Li, E., Fan, J., Long, T., & Liang, Z. (2019). Automatic extraction and identification of narrow butt joint based on ANFIS before GMAW. The International Journal of Advanced Manufacturing Technology, 100(1-4), 609-622.

    3. Yang, L., Li, E., Long, T., Fan, J., & Liang, Z. (2018). A high-speed seam extraction method based on the novel structured-light sensor for arc welding robot. IEEE Sensors Journal, 18(21), 8631-8641.

    4. Yang, L., Li, E., Long, T., Fan, J., Mao, Y., Fang, Z., & Liang, Z. (2018). A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm. The International Journal of Advanced Manufacturing Technology, 94(1-4), 1209-1220.

    5. Fan, J., Deng, S., Jing, F., Zhou, C., Yang, L., Long, T., & Tan, M. (2019). An initial point alignment and seam tracking system for narrow weld. IEEE Transactions on Industrial Informatics.

    6. Fan, J., Jing, F., Yang, L., Long, T., & Tan, M. (2019). An initial point alignment method of narrow weld using laser vision sensor. The International Journal of Advanced Manufacturing Technology, 102(1-4), 201-212.

    7. Fan, J., Jing, F., Yang, L., Teng, L., & Tan, M. (2018). A precise initial weld point guiding method of micro-gap weld based on structured light vision sensor. IEEE Sensors Journal, 19(1), 322-331.

    8. Fan, J., Jing, F., Yang, L., Long, T., & Tan, M. (2019). A precise seam tracking method for narrow butt seams based on structured light vision sensor. Optics & Laser Technology, 109, 616-626.

    9. Long, T., Li, E., Fan, J., Yang, L., & Liang, Z. (2018). Design of the tip state estimator for hybrid-structured flexible manipulator based on SDFT and FLAKF. Assembly Automation, 38(5), 576-586.

    10. Long, T., Li, E., Yang, L., Fan, J., & Liang, Z. (2018). Analysis and Design of an Effective Light Interference Methane Sensor Based on Three-Dimensional Optical Path Model. Journal of Sensors, 2018.

    11. 龙腾, 李恩, 杨国栋, 杨磊, 范俊峰, & 梁自泽. (2018). 基于pso非均匀样条插值的混合结构柔性臂抑振轨迹规划. 控制与决策, v.33(06), 13-23.

    12. Lei, Y., En, L., & Zize, L. (2017, October). An automated robot-assisted 3D reconstruction system for Adit. In 2017 Chinese Automation Congress (CAC) (pp. 1767-1772). IEEE.

    13. Yang, L., Li, E., Mao, Y., & Liang, Z. (2017, May). A novel 3D measurement method of welding workpiece for robot off-line programming. In 2017 29th Chinese Control And Decision Conference (CCDC) (pp. 3835-3840). IEEE.

    14. Yang, L., Li, E., & Liang, Z. (2016, August). The Novel control method for the Adit data collection system. In 2016 IEEE International Conference on Mechatronics and Automation (pp. 1553-1558). IEEE.

    15. Yijian, M., Lei, Y., Fengshui, J., Zize, L., & Weiqing, Z. (2017, May). Servo system to control Arc length for electro-gas welding equipment. In 2017 29th Chinese Control And Decision Conference (CCDC) (pp. 3945-3950). IEEE.

    16. Gao, Z., Li, E., Yang, L., & Liang, Z. (2018, July). Pipeline Scene Reconstruction Based on Image Mosaicing. In 2018 37th Chinese Control Conference (CCC) (pp. 5322-5327). IEEE.

    17. Tian, Y., Li, E., Yang, L., & Liang, Z. (2018, August). An image processing method for green apple lesion detection in natural environment based on GA-BPNN and SVM. In 2018 IEEE International Conference on Mechatronics and Automation (ICMA) (pp. 1210-1215). IEEE.


    发明专利

    1.用于架空输电线路的巡线机器人

    2.一种焊接夹具


    上一条:霍本岩
    下一条:高金峰

    关闭

中国.郑州.郑州大学电气与信息工程学院 邮编:450001
系统维护:河南省机器人感知与控制工程研究中心