Abstract
Self-balancing robot based on machine vision with two wheels sometimes can be more flexible and saving space than four wheels. We present design scheme and experiment implement of self-balancing robot based on machine vision in the paper. The robot can get road information by CCD camera, then process the image by algorithm to get the road path information and the robot can safely and reliably auto-drive along the road. Based on machine vision the self-balancing robot does not need person to control it, and it can reduce the human disturbance which can greatly improve the efficiency and safety of the system. The system needs to deal with lots of tasks under CPU resource limitation. We have considered the task scheduling under CPU resource limitation through experiment and theory prove. It is proved that the system has good intelligence and anti-interference ability by experiments and competition.
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References
Umar, F., Usman, M.A., Athar, H., et al.: Design and implementation of a fuzzy logic controller for two wheeled self-balancing robot. Adv. Mater. Res.: MEMS, NANO and Smart Syst. 403-408, 4918–4925 (2012)
Osama, J., Mohsin, J., et al.: Modelling control of a two-wheeled self-balancing robot. In: International Conference Proceedings on Robotics and Emerging Allied Technologies in Engineering, pp. 191–199 (2014)
Yuli, C., Yikai, S., et al.: Research on two wheeled self-balanced robot based on variable universe fuzzy PID control. Comput. Simul. 30(2), 347–350 (2013)
Wenjian, L., Hang, Z., et al.: Design and implementation of control system for two-wheeled self-balancing robot. J. Electron. Meas. Instrum. 27(8), 750–759 (2013)
Shouxian, S.: Stability and bistability in physical systems (I). Phys. Eng. 12(03), 1–5,10 (2002)
Wen, M., Hong, Y., et al.: Application of incremental encoder in impulse measurement with compound pendulum. Chin. J. Sci. Instrum. 28(1), 140–144 (2007)
Shouping, G., Wei, Z., et al.: Networked Control Systems and Application. Publishing House of Electronics Industry, Beijing (2008)
Wu, Y., Song, X., Gong, G.: Real-time load balancing scheduling algorithm for periodic simulation models. Simul. Model. Pract. Theor. 52(1), 123–134 (2015)
Acknowledgments
This work is supported by the BISTU Graduate Education Quality Project (5111623305),BISTU Course Construction and Teaching Reform Project (2014KG22, 2015KGZD06, 2016JGYB15, 2014JG08).
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Wu, Y., Shi, X. (2016). Self-balancing Robot Design and Implementation Based on Machine Vision. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-10-2666-9_4
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DOI: https://doi.org/10.1007/978-981-10-2666-9_4
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