HYBRID COMMUNICATION NETWORK OF MOBILE ROBOT AND QUAD-COPTER
https://doi.org/10.21122/2309-4923-2017-1-69-75
Abstract
This paper introduces the design and development of QMRS (Quadcopter Mobile Robotic System). QMRS is a real-time obstacle avoidance capability in Belarus-132N mobile robot with the cooperation of quadcopter Phantom-4. The function of QMRS consists of GPS used by Mobile Robot and image vision and image processing system from both robot and quad-copter and by using effective searching algorithm embedded inside the robot. Having the capacity to navigate accurately is one of the major abilities of a mobile robot to effectively execute a variety of jobs including manipulation, docking, and transportation. To achieve the desired navigation accuracy, mobile robots are typically equipped with on-board sensors to observe persistent features in the environment, to estimate their pose from these observations, and to adjust their motion accordingly. Quadcopter takes off from Mobile Robot, surveys the terrain and transmits the processed Image terrestrial robot. The main objective of research paper is to focus on the full coordination between robot and quadcopter by designing an efficient wireless communication using WIFI. In addition, it identify the method involving the use of vision and image processing system from both robot and quadcopter; analyzing path in real-time and avoiding obstacles based-on the computational algorithm embedded inside the robot. QMRS increases the efficiency and reliability of the whole system especially in robot navigation, image processing and obstacle avoidance due to the help and connection among the different parts of the system.
About the Author
Moustafa M. Kurdi
Belarusian National Technical University
Belarus
PhD in Engineering
Belarus
PhD in Engineering
References
1. G. Bekey, R. Ambrose, V. Kumar, D. Lavery, A. Sanderson, B. Wilcox, J. Yuh, and Y. Zheng. Robotics: State of the Art and Future Challenges, Imperial College Press, 2008, pp. 89–92.
2. H. Jaffa, A. Soh, W. Hasan, M. Marhaban, S. Rashid. “A Wireless Flipper Robot Using Interface Free Controller,”IEEE Trans. on Industrial Electronics and Applications, ISBN 978-1-4673-6322-8, June 2013.
3. C. Karaoguz, T. Rodemann, B. Wrede, C. Goerick. “Learning Information Acquisition for Multitasking Scenarios in Dynamic Environments,” IEEE Transactions on Autonomous Mental Development, vol. 5, No. 1, March 2013.
4. I. Mezei, V. Malbasa, I. Stojmenovic. “Task Assignment in Wireless Sensor and Robot Networks”, IEEE Trans. telecommunication forum, ISBN 978-1-4673-2984-2, January 2012.
5. A. Dadykin, M. Kurdi, M. Tatur. “Multifunction System of Mobile Robotics,” presented at the 3rd International Conference on Electrical, Electronics, Computer Engineering and their Applications, Beirut, April 21–23, 2016.
6. UA-Vision. (2013). “UAV Applications”, Portugal, Torres Vedras. [Online]. Available: http://www.uavision.com/#!applications/c1tsl.
7. A. Cavoukian. (August 2012). Privacy and Drones: Unmanned Aerial Vehicles. Information and Privacy Commissioner, Toronto, Canada, Privacy by Design. [Online]. Available: http://www.ipc.on.ca/images/Resources/pbd-drones.pdf
8. T. Neumann, A. Ferrein, S. Kallweit and I. Scholl. “Towards a Mobile Mapping Robot for Underground Mines,” in Proc. of the 2014 PRASA, RobMech and AfLaI Int. Joint Symposium, Cape Town, South Africa, 2014.
9. I. Sa, P. Corke. “Vertical Infrastructure Inspection Using a Quadcopter and Shared Autonomy Control,” Field and Service Robotics, Edited by K. Yoshida, S. Tadokoro. Berlin, Heidelberg: Springer Berlin-Heidelberg, 2014, pp. 219–232.
10. W. Gage. “Network Protocols for Mobile Robot Systems,” in Proc. Space and Naval Warfare Systems Center, Pittsburgh PA, 1997, pp. 107–118.
Review
For citations:
Kurdi M.M. HYBRID COMMUNICATION NETWORK OF MOBILE ROBOT AND QUAD-COPTER. «System analysis and applied information science». 2017;(1):69-75. https://doi.org/10.21122/2309-4923-2017-1-69-75
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