Abstract
The intelligent mobile robot with sensors and image processing embedded system combines the suction and aerodynamic attraction to achieve good balance between strong adhesion force and high mobility for the purpose of the warehouse inspection. To be able to move across the edge region, the new robot is designed to connect two robot modules with the waist joint made of strong motor. The height and weight of the robot main body was reduced to improve the suction forces by the physical analysis. It also implements object detection ability using effective color transform and segmentation technique for the exact target detection on the wall using a embedded camera system, communication module and several active sensors. Experimental results showed that the robot can move upward on the wall at the speed of 3.4 m/min and carry 10 kg payload in addition to 2.5 kg self-weight, which record the highest payload capacity among climbing robots of similar size.
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References
Clark J, Goldman D, Lin P, Lynch G, Chen T, Komsuoglu H, Full R, Koditschek D (2007) Design of a bio-inspired dynamical vertical climbing robot. In: Proceedings of robotics: science and systems, Atlanta, Georgia, USA, June 2007
Kang MJ, Moon HP, Choi HR (2010) A study on the design and control of wall climbing robot using impeller. Master’s thesis, SeongkyoonKwan University
Yamaguchi T, Sorioka Y, Park S, Hashimoto S (2009) SIEN: telescopic-arm climbing-support robot. Department of Applied Physics, Waseda University
Silva MF, Machado JT (2006 )A survey of technologies and applications for climbing robots locomotion and adhesion. Instituto Superior de Engenharia do Porto Portugal
Hirose S, Tsutsumitake H (1992) Disk rover: a wall-climbing robot using permanent magnet disks. In: Proceedings of the 1992 IEEE/RSJ international conference on intelligent robots and systems, Raleigh, NC, pp 2074–2079
Li J, Gao X, Fan N, Li K, Jiang Z, Jiang Z (2010) Adsorption performance of sliding wall climbing robot. Chin J Mech Eng
Xiao J, Sadegh A (2008) City-climber: a new generation wall-climbing robots. The City College, City University of New York, USA
Kim S-H, Jeong Y-S (2013) Mobile image sensors for object detection using color segmentation, Cluster Comput. doi 10.1007/s10586-013-0287-2), Springer, 2013.06,14 (online publish)
Kim S, Kwon H (2013) Object detection image processing based on the mobile embedded environment. Korean Soc Comput Game 26(1)
Kim S, Lee S, Kim S, Lee J (2009) Object Tracking of Mobile Robot using Moving Color and Shape Information for the aged walking. IJAST 3:59–68
Kim S (2006) Object tracking using moving color and active contour information. In: ITC-CSSS2006, Thailand
Acknowledgments
This work was supported by a research grant from Gyunggi-do (GRRC) in 2013–2014 (GRRC Hankyong 2012-B02), Development of Automatic Picking System with Traveling Dispensers and Automatic Classification and Defect Detection System with Machine Vision Technology.
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Lee, J., Kim, S. (2014). Suction Based Wall Climbing Robot for Edge Movement. In: Park, J., Zomaya, A., Jeong, HY., Obaidat, M. (eds) Frontier and Innovation in Future Computing and Communications. Lecture Notes in Electrical Engineering, vol 301. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8798-7_79
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DOI: https://doi.org/10.1007/978-94-017-8798-7_79
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