Information Based Remote Control system for Climbing Robot Applications
Citation
MLA Style: Navaprakash N, Uppu Ramachandraiah, G. Muthukumaran "Information Based Remote Control system for Climbing Robot Applications" International Journal of Engineering Trends and Technology 68.3(2020):6-11.
APA Style:Navaprakash N, Uppu Ramachandraiah, G. Muthukumaran. Information Based Remote Control system for Climbing Robot Applications International Journal of Engineering Trends and Technology, 68(3),6-11.
Abstract
The development of robots for service application is growing rapidly due to constraints of the operation efficiency and cost-effective task completion. One among those is the climbing robots, which are developed for the inspection applications of high-rise buildings. Skyscrapers involve the humans for facades cleaning work, which is hazardous and laborious. For such requirements, the robotics are dealt to overcome hazardous situations, possessing high level of adaptability and flexibility. This paper presents novel design of intelligent information based remotely operated negative sliding suction pressure control for climbing robot using low cost NI-myRIO under LabVIEW environment. It also deals with robustness and stability of wall climbing robot with navigation and closed loop control mechanism. NI-myRIO has an inbuilt processor with FPGA, used to acquire and generate signals for processing and controlling of wall climbing robot remotely. The robot is simulated using the graphical user interface under LabVIEW environment. The robot was realized and controlled using handheld Tablet PC.
Reference
[1] N. Navaprakash, U. Ramachandraiah, G. Muthukumaran, V. Rakesh, and Ashutosh Pratap Singh, ““ Modeling and Experimental Analysis of Suction Pressure Generated by Active Suction Chamber Based Wall Climbing Robot with a Novel Bottom Restrictor”, Procedia Computer Science, vol. 133, pp. 847– 854, 2018.
[2] N. Navaprakash, U. Ramachandraiah, G. Muthukumaran, V. Rakesh, and Ashutosh Pratap Singh, “Live Demonstration: ‘ Wall Climbing Robot Using Fuzzy Based Adaptive Control System”, 2018 Ieee Sensors, New Delhi.
[3] G. Muthukumaran and U. Ramachandraiah, “Development and Analysis of Robotic Sliding Suction Cup System for Wall Climbing Applications,” vol. 9, Indian Journal of Science and Technology, no. S1, 2016.
[4] K. H. Cho, Y. H. Jin, H. M. Kim, H. Moon, J. C. Koo, and H. R. Choi, “Multifunctional Robotic Crawler for Inspection of Suspension Bridge Hanger Cables: Mechanism Design and Performance Validation,” IEEE/ASME Transactions on Mechatronics, vol. 22, no. 1, pp. 236– 246, 2017.
[5] M. F. and J. A. T. Machado, “A Survey of Technologies and Applications for Climbing Robots Locomotion and Adhesion,” Climbing and Walking Robots, Jan. 2010.
[6] D. Zarrouk and L. Yehezkel, “Rising STAR: A Highly Reconfigurable Sprawl Tuned Robot,” IEEE Robotics and Automation Letters, vol. 3, no. 3, pp. 1888– 1895, 2018.
[7] H. Wang and A. Yamamoto, “Analyses and Solutions for the Buckling of Thin and Flexible Electrostatic Inchworm Climbing Robots,” IEEE Transactions on Robotics, vol. 33, no. 4, pp. 889– 900, 2017.
[8] Y. Liu, H. Kim, and T. Seo, “AnyClimb: A New Wall- Climbing Robotic Platform for Various Curvatures,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 4, pp. 1812– 1821, 2016.
[9] A. Khamis, D. Zydek, G. Borowik, and D. S. Naidu, “Control System Design Based on Modern Embedded Systems,” Computer Aided Systems Theory - EUROCAST 2013 Lecture Notes in Computer Science, pp. 491– 498, 2013
[10] A. Harane, S. Bhoir, T. Patkar, and D. Karia, “Design and development of farm automation system using NI myRIO,” 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017.
[11] T. Caldeira, H. A. Remeithi, and I. A. Raeesi, “MyRIO based mobile robot for rescue competitions,” 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2017.
[12] Y. Angal and A. Gade, “LabVIEW controlled robot for object handling using NI myRIO,” 2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT), 2016.
[13] NI myRIO https://ni.com/pdf/manuals/376047a.pdf/
Keywords
robots, climbing, sliding suction, NI-myRIO, FPGA, LabVIEW, robustness, stability