| Citation: | Liu Rong, Tian Lin. Key factors analysis of wall-climbing robot[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(5): 608-611. (in Chinese)
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[1] Bin Ma, Rong Liu, Rong Zhang, et al. Design of wall climbing robots with transition capability Proceeding of 2007 IEEE International Conference on Robotics and Biomimetics. Sanya, China: IEEE, 2007:18715-1875 [2] Zhang Houxiang, Zhang Jianwei, Liu Rong, et al. Realization of a service robot for cleaning spherical surfaces[J]. International Journal of Advanced Robotic Systems, 2005, 12(1): 53-58 [3] Tang Zongjun, Chen Zhen, Dong Zaili, et al. Structure and control system design of a omni-directional wall-climbing robot[J]. Robot Technology, 2006, 1:33-35 [4] Wu Shanqiang, Li Mantian, Xiao Shu, et al. A wireless distributed wall climbing robotic system for reconnaissance purpose Procecding of the 2006 IEEE International Conference on Mechatronics and Automation. : IEEE, 2006, 1308-1302 [5] Li Xianbin. Development of a multifunctional mini negative Pressure wall-climbing robot . Beijing: School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, 2007 [6] Gui Zhongcheng, Chen Qiang, Sun Zhenguo,et al. Turning power losses in the wheeled locomotion mechanism for a wall climbing robot[J]. Tsinghua Univ(Sci & Tech), 2008, 48(2):161-164
|
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| [2] | ZHU J Z，WANG C，LI X K，et al. A deep reinforcement learning based on discrete state transition algorithm for solving fuzzy flexible job shop scheduling problem[J]. Journal of Beijing University of Aeronautics and Astronautics，2025，51（4）：1385-1394 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2023.0211. |
| [3] | MA S G，LI N B，HOU Z Q，et al. Object detection algorithm based on DSGIoU loss and dual branch coordinate attention[J]. Journal of Beijing University of Aeronautics and Astronautics，2025，51（4）：1085-1095 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2023.0192. |
| [4] | LU S Q，GUAN F X，LAI H T，et al. Two-stage underwater image enhancement method based on convolutional neural networks[J]. Journal of Beijing University of Aeronautics and Astronautics，2025，51（1）：321-332 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.1003. |
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| [7] | HOU Z Q，MA J Y，HAN R X，et al. A fast long-term visual tracking algorithm based on deep learning[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（8）：2391-2403 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2022.0645. |
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| [11] | JIANG Y，CHEN M Y，YUAN Q，et al. Departure flight delay prediction based on spatio-temporal graph convolutional networks[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（5）：1044-1052 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0415. |
| [12] | ZHANG Y Z，LI W B，ZHENG T T. Inverted residual target detection algorithm based on LGC[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（6）：1287-1293 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0452. |
| [13] | CHEN C，ZHAO W. Remote sensing target detection based on dynanic feature selection[J]. Journal of Beijing University of Aeronautics and Astronautics，2023，49（3）：702-709 （in Chinese）. doi: 10.13700/j.bh.1001-5965.2021.0300. |
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