Remote Control of a Mobile Robot for Indoor Patrol

This study applies smartphone, Bluetooth, and Wi-Fi wireless network to control a wheeled mobile robot (WMR) remotely. The first part of this study demonstrates that the WMR can be controlled manually by a smartphone. The smartphone can remotely control the WMR for forward, backward, left-turn, and right-turn operations. The second part of this article presents object tracking. The WMR can follow a moving object through the use of image processing for object tracking and distance detection. In the third part, infrared sensor and fuzzy system algorithms are integrated into the control scheme. Through wall-following and obstacle-avoidance control, the WMR can successfully perform indoor patrol.

[1]  Jih-Gau Juang,et al.  Application of localization system to WMR path planning and parking control , 2009, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[2]  Jih-Gau Juang,et al.  Application of image process and distance computation to WMR obstacle avoidance and parking control , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.

[3]  Jih Gau Juang,et al.  Indoor Map Building by Laser Sensor and Positioning Algorithms , 2015 .

[4]  T. Tweed.  Space , 2011, STEM Education in the Primary School.

[5]  Imre J. Rudas,et al.  Real-Time Image Recognition and Path Tracking of a Wheeled Mobile Robot for Taking an Elevator , 2013 .

[6]  Jih-Gau Juang,et al.  Real-time indoor surveillance based on smartphone and mobile robot , 2012, IEEE 10th International Conference on Industrial Informatics.

[7]  Ivan Petrovic,et al.  Dynamic window based approach to mobile robot motion control in the presence of moving obstacles , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[8]  F.H.F. Leung,et al.  Fuzzy model reference control of wheeled mobile robots , 2001, IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243).

[9]  Jih Gau Juang,et al.  Type-2 Fuzzy Control of a Mobile Robot for Avoiding Moving Object , 2011 .

[10]  C. R. Kelber,et al.  Cell-phone guided vehicle, an application based on a drive-by-wire automated system , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[11]  Jih-Gau Juang,et al.  Application of Image Process and Fuzzy Theory to Dynamic Obstacle Avoidance for an Autonomous Vehicle , 2010 .

[12]  Fumio Harashima,et al.  A position control differential drive wheeled mobile robot , 2001, IEEE Trans. Ind. Electron..

[13]  Sandeep Kumar,et al.  Appl. Sci , 2013 .

[14]  Jih-Gau Juang,et al.  Computer-Aided Mobile Robot Control Based on Visual and Fuzzy Systems , 2012 .

[15]  Jih-Gau Juang,et al.  Application of intelligent computing to autonomous vehicle control , 2010, IEEE Congress on Evolutionary Computation.