[1] G Lee, H Kim, K Seo, et al. MultiTrack: A multi-linked track robot with suction adhesion for climbing and transition. Robotics and Autonomous Systems, 2015, 72: 207-216.
[2] J Zhu, D Sun, S Tso. Development of a tracked climbing robot. Journal of Intelligent and Robotic Systems, 2002, 35(4): 427-443.
[3] T Felsch, G Strauss, C Perez, et al. Robotized inspection of vertical structures of a solar power plant using NDT techniques. Robotics, 2015, 4(2): 103-119.
[4] C Hillenbrand, D Schmidt, K Berns. CROMSCI: Development of a climbing robot with negative pressure adhesion for inspections. Industrial Robot: An International Journal, 2008, 35(3): 228-237.
[5] D Longo, G Muscato. The Alicia/sup 3/ climbing robot: A three-module robot for automatic wall inspection. Robotics & Automation Magazine IEEE, 2006, 13(1): 42-50.
[6] N Sakagami, Y Yumoto, T Takebayashi, et al. Development of dam inspection robot with negative pressure effect plate. Journal of Field Robotics, 2019, 36(8): 1422-1435.
[7] M O Faruq Howlader, T P Sattar. Novel adhesion mechanism and design parameters for concrete wall-climbing robot. IEEE 2015 SAI Intelligent Systems Conference (IntelliSys), London, UK, Nov. 10-11, 2015, .
[8] H Leon-Rodriguez, S Hussain, T Sattar. A compact wall-climbing and surface adaptation robot for non-destructive testing. 12th International Conference on Control, Automation and Systems (ICCAS), 2012.
[9] A L C Oliveira, M F Silva, R S Barbosa. Architecture of a wheeled climbing robot with dynamic adjustment of the adhesion system. IEEE 8th International Symposium on Intelligent Systems and Informatics, 2010.
[10] B Li, K Ushiroda, L Yang, et al. Wall-climbing robot for non-destructive evaluation using impact-echo and metric learning SVM. International Journal of Intelligent Robotics and Applications, 2017, 1(3): 255-270.
[11] S Seriani, L Scalera, M Caruso, et al. Upside-down robots: Modeling and experimental validation of magnetic-adhesion mobile systems. Robotics, 2019, 8(2): 41.
[12] O Kermorgant. A magnetic climbing robot to perform autonomous welding in the shipbuilding industry. Robotics and Computer-Integrated Manufacturing, 2018, 53: 178-186.
[13] D Schmidt, K Berns. Climbing robots for maintenance and inspections of vertical structures—A survey of design aspects and technologies. Robotics and Autonomous Systems, 2013, 61(12): 1288-1305.
[14] H M La, T H Dinh, N H Pham, et al. Automated robotic monitoring and inspection of steel structures and bridges. Robotica, 2019, 37(5): 947-967.
[15] T Go, T Osawa, T Nakamura. Proposed locomotion strategy for a traveling-wave-type omnidirectional wall-climbing robot for spherical surfaces. 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2015.
[16] Z Cai, Z Tao, J Bai, et al. Design of landing platform on climbing robot for a Small Unmanned Aerial Vehicle. IEEE International Conference on Mechatronics & Automation, 2015.
[17] Q Zhou, X Li. Experimental investigation on climbing robot using rotation-flow adsorption unit. Robotics and Autonomous Systems, 2018, 105: 112-120.
[18] Liu Y, Sun S, Wu X, et al. A wheeled wall-climbing robot with bio-inspired spine mechanisms. Journal of Bionic Engineering, 2015, 12(1): 17-28.
[19] F Xu, F Meng, Q Jiang, et al. Grappling claws for a robot to climb rough wall surfaces: Mechanical design, grasping algorithm, and experiments. Robotics and Autonomous Systems, 2020, 128: 103501.
[20] W Fischer, F Tache, R Siegwart. Inspection system for very thin and fragile surfaces, based on a pair of wall climbing robots with magnetic wheels. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007.
[21] L Kelley, S Ostovari, A B Burmeister, et al. Design and experimental validation of a simple controller for a multi-segment magnetic crawler robot. SPIE, 2015.
[22] A San-Millan. Design of a teleoperated wall climbing robot for oil tank inspection. 23rd Mediterranean Conference on Control and Automation, 2015, .
[23] R Wang, Y Kawamura. An automated sensing system for steel bridge inspection using GMR sensor array and magnetic wheels of climbing robot. Journal of Sensors, 2016, 2016: 1-15.
[24] W Shen, J Gu, Y Shen. Proposed wall climbing robot with permanent magnetic tracks for inspecting oil tanks. IEEE International Conference on Mechatronics and Automation, 2005.
[25] K Nagaya, T Yoshino, M Katayama, et al. Wireless piping inspection vehicle using magnetic adsorption force. IEEE/ASME Transactions on Mechatronics, 2012, 17(3): 472-479.
[26] F Fang, T Wang, B Li. Analysis and design of electromagnetic vehicles climbing on steel plates. IEEE International Conference on Mechatronics and Automation (ICMA), 2015.
[27] H Huang, D Li, Z Xue, et al. Design and performance analysis of a tracked wall-climbing robot for ship inspection in shipbuilding. Ocean Engineering, 2017, 131: 224-230.
[28] M Tavakoli, P Lopes, L Sgrigna, et al. Motion control of an omnidirectional climbing robot based on dead reckoning method. Mechatronics, 2015, 30: 94-106.
[29] M Tavakoli, J Lourenço, C Viegas, et al. The hybrid OmniClimber robot: Wheel based climbing, arm based plane transition, and switchable magnet adhesion. Mechatronics, 2016, 36: 136-146.
[30] M Tavakoli, C Viegas, L Marques, et al. OmniClimbers: Omni-directional magnetic wheeled climbing robots for inspection of ferromagnetic structures. Robotics and Autonomous Systems, 2013, 61(9): 997-1007.
[31] M Tavakoli, C Viegas. Analysis and application of dual-row omnidirectional wheels for climbing robots. Mechatronics, 2014, 24(5): 436-448.
[32] J Li, X S Wang. Novel omnidirectional climbing robot with adjustable magnetic adsorption mechanism. 2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2016.
[33] K Zheng, J Li, C Tu, et al. Two opposite sides synchronous tracking X-ray based robotic system for welding inspection. 2016 23rd International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2016.
[34] C Tu, X Li, J Li, et al. Bilateral laser vision tracking synchronous inspection robotic system. 2017 Far East NDT New Technology & Application Forum (FENDT), 2017.
[35] G Liang, K Zheng, C Tu, et al. Existing weld seam recognition based on image processing. Far East NDT New Technology and Application Forum, 2017.